MATLAB Simulink modeling and simulation of LVI-based primal–dual neural network for solving linear and quadratic programs
In view of parallel-processing nature and circuit-implementation convenience, recurrent neural networks are often employed to solve optimization problems. Recently, a primal-dual neural network based on linear variational inequalities (LVI) was developed by Zhang et al. for the online solution of li...
Saved in:
| Published in | Neurocomputing (Amsterdam) Vol. 72; no. 7; pp. 1679 - 1687 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.03.2009
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0925-2312 1872-8286 |
| DOI | 10.1016/j.neucom.2008.07.008 |
Cover
| Abstract | In view of parallel-processing nature and circuit-implementation convenience, recurrent neural networks are often employed to solve optimization problems. Recently, a primal-dual neural network based on linear variational inequalities (LVI) was developed by Zhang et al. for the online solution of linear-programming (LP) and quadratic-programming (QP) problems simultaneously subject to equality, inequality and bound constraints. For the final purpose of field programmable gate array (FPGA) and application-specific integrated circuit (ASIC) realization, we investigate in this paper the MATLAB Simulink modeling and simulative verification of such an LVI-based primal-dual neural network (LVI-PDNN). By using click-and-drag mouse operations in MATLAB Simulink environment, we could quickly model and simulate complicated dynamic systems. Modeling and simulative results substantiate the theoretical analysis and efficacy of the LVI-PDNN for solving online the linear and quadratic programs. |
|---|---|
| AbstractList | In view of parallel-processing nature and circuit-implementation convenience, recurrent neural networks are often employed to solve optimization problems. Recently, a primal-dual neural network based on linear variational inequalities (LVI) was developed by Zhang et al. for the online solution of linear-programming (LP) and quadratic-programming (QP) problems simultaneously subject to equality, inequality and bound constraints. For the final purpose of field programmable gate array (FPGA) and application-specific integrated circuit (ASIC) realization, we investigate in this paper the MATLAB Simulink modeling and simulative verification of such an LVI-based primal-dual neural network (LVI-PDNN). By using click-and-drag mouse operations in MATLAB Simulink environment, we could quickly model and simulate complicated dynamic systems. Modeling and simulative results substantiate the theoretical analysis and efficacy of the LVI-PDNN for solving online the linear and quadratic programs. |
| Author | Tan, Hong-Zhou Li, Xiao-Dong Ma, Weimu Chen, Ke Zhang, Yunong |
| Author_xml | – sequence: 1 givenname: Yunong surname: Zhang fullname: Zhang, Yunong email: ynzhang@ieee.org, zhynong@mail.sysu.edu.cn organization: School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510275, China – sequence: 2 givenname: Weimu surname: Ma fullname: Ma, Weimu organization: School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510275, China – sequence: 3 givenname: Xiao-Dong surname: Li fullname: Li, Xiao-Dong organization: School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510275, China – sequence: 4 givenname: Hong-Zhou surname: Tan fullname: Tan, Hong-Zhou organization: School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510275, China – sequence: 5 givenname: Ke surname: Chen fullname: Chen, Ke organization: School of Software, Sun Yat-Sen University, Guangzhou 510275, China |
| BookMark | eNqFkEtOwzAURS1UJNrCDhh4AwkvTpsPA6RS8akUxIDC1HLsl8ptEoOdFiEm7IEdshLclhEDGF3L0jn2vQPSa02LhJxGEEYQJWfLsMW1NE3IALIQ0tDHAelHWcqCjGVJj_QhZ-OAxRE7IgPnlgBRGrG8T97vJvNickkfdLOudbuijVHoDwsqWkXd9lZ02rTUVLR4mgWlcKjos9WNqL8-PtVa1NQ_bnfRvRq7opWx1Jl6s5V4Ewq7c72shbLeJT1tFlY07pgcVqJ2ePKTQ_J4fTWf3gbF_c1sOikCGUPSBSUksWIxQDouoZQ4UlChykv_fxjlOWIuyjiJs7zMU0igxGws0kpWFRvHo0SqeEjO915pjXMWKy51t2vVWaFrHgHfzsiXfD8j387IIeU-PDz6Be_K27f_sIs9hr7YRqPlTmpsJSptUXZcGf234Bt_TpRl |
| CitedBy_id | crossref_primary_10_1007_s00521_011_0692_5 crossref_primary_10_1007_s12559_017_9510_4 crossref_primary_10_1016_j_jfranklin_2021_11_009 crossref_primary_10_1016_j_neucom_2016_02_021 crossref_primary_10_1007_s00521_014_1744_4 crossref_primary_10_1016_j_neucom_2015_04_070 crossref_primary_10_1007_s11804_010_1016_3 crossref_primary_10_1007_s11075_020_00946_1 crossref_primary_10_1177_1729881417731897 crossref_primary_10_1155_2019_5071254 crossref_primary_10_1016_j_neucom_2018_01_033 crossref_primary_10_1109_TAC_2018_2810039 crossref_primary_10_3390_math10183335 crossref_primary_10_1016_j_amc_2022_127700 crossref_primary_10_1016_j_neucom_2011_02_007 crossref_primary_10_1016_j_ipl_2018_10_004 crossref_primary_10_1109_TNNLS_2020_2980038 crossref_primary_10_3389_fninf_2018_00080 crossref_primary_10_1007_s10846_013_9816_8 crossref_primary_10_1016_j_mechmachtheory_2013_06_004 crossref_primary_10_1109_TNNLS_2024_3351674 crossref_primary_10_1016_j_neucom_2013_04_041 crossref_primary_10_1016_j_neucom_2025_129727 crossref_primary_10_1109_TSMC_2022_3189007 crossref_primary_10_3390_biomimetics9070435 crossref_primary_10_1016_j_jfranklin_2020_09_025 crossref_primary_10_1016_j_neucom_2011_05_021 |
| Cites_doi | 10.1016/j.neucom.2005.11.006 10.1109/TSMCB.2004.830347 10.1109/TNN.2003.816033 10.1016/S0375-9601(02)00424-3 10.1109/82.160169 10.1016/j.neucom.2006.11.028 10.1109/TRA.2002.805651 10.1016/S0021-9290(00)00129-9 10.1109/3477.907567 10.1016/j.amc.2005.01.113 10.1109/MSE.2005.12 10.1109/TCS.1986.1085953 10.1109/TNN.2003.816058 10.1016/j.mechatronics.2005.11.003 10.1109/31.1783 10.1109/ISCAS.1998.703939 10.1016/j.neucom.2007.01.012 |
| ContentType | Journal Article |
| Copyright | 2008 Elsevier B.V. |
| Copyright_xml | – notice: 2008 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.neucom.2008.07.008 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-8286 |
| EndPage | 1687 |
| ExternalDocumentID | 10_1016_j_neucom_2008_07_008 S0925231208004165 |
| GroupedDBID | --- --K --M .DC .~1 0R~ 123 1B1 1~. 1~5 29N 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AADPK AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXLA AAXUO AAYFN ABBOA ABCQJ ABFNM ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGWIK AGYEJ AHHHB AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W KOM LG9 M41 MO0 MOBAO N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SES SEW SPC SPCBC SSN SSV SSZ T5K WUQ XPP ZMT ~G- AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c306t-b063d230075b0bce4d0fed9b1290499ee9ab36389b97060be85a7fcff25346cd3 |
| IEDL.DBID | AIKHN |
| ISSN | 0925-2312 |
| IngestDate | Wed Oct 01 03:45:12 EDT 2025 Thu Apr 24 23:09:03 EDT 2025 Fri Feb 23 02:31:04 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Keywords | Quadratic programs Circuit implementation Neural networks Linear programs MATLAB Simulink modeling and simulation |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c306t-b063d230075b0bce4d0fed9b1290499ee9ab36389b97060be85a7fcff25346cd3 |
| PageCount | 9 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_neucom_2008_07_008 crossref_primary_10_1016_j_neucom_2008_07_008 elsevier_sciencedirect_doi_10_1016_j_neucom_2008_07_008 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2009-03-01 |
| PublicationDateYYYYMMDD | 2009-03-01 |
| PublicationDate_xml | – month: 03 year: 2009 text: 2009-03-01 day: 01 |
| PublicationDecade | 2000 |
| PublicationTitle | Neurocomputing (Amsterdam) |
| PublicationYear | 2009 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Lázaro, Arias, Astarloa, Bidarte, Zuloaga (bib8) 2007; 71 Zhang, Ge, Lee (bib21) 2004; 34 Zhang, Wang (bib23) 2002; 298 Mead (bib9) 1989 Zhang, Constantinides (bib16) 1992; 39 Zhang (bib18) 2006; 16 Tang, Wang (bib12) 2001; 31 Y. Zhang, Towards piecewise-linear primal neural networks for optimization and redundant robotics, in: Proceedings of IEEE International Conference on Networking, Sensing and Control, 2006, pp. 374–379. Zhang, Wang, Xu (bib24) 2002; 18 Hikawa (bib5) 2003; 14 Iqbal, Pai (bib6) 2000; 33 The MathWorks Inc., Simulink HDL Coder User's Guide, version 1.1, Natick, MA, 2007, available at Kennedy, Chua (bib7) 1988; 35 Y. Zhang, On the LVI-based primal-dual neural network for solving online linear and quadratic programming problems, in: Proceedings of the American Control Conference, 2005, pp. 1351–1356. . Zhang (bib19) 2006; 70 A.A.H. El-Shafei, M.I. Sobhy, A time-multiplexing simulator for cellular neural network (CNN) using SIMULINK, in: Proceedings of the IEEE International Symposium on Circuits and Systems, vol. 3, 1998, pp. 167–170. Cichocki, Unbehauen (bib2) 1993 Ferreiraa, Ribeiroa, Antunesa, Dias (bib4) 2007; 71 Anguita, Boni, Ridella (bib1) 2003; 14 Zhang, Leithead (bib22) 2005; 171 M.A. Shanblatt, A Simulink-to-FPGA implementation tool for enhanced design flow, in: Proceedings of the IEEE International Conference on Microelectronic Systems Education, 2005, pp. 89–90. Tank, Hopfield (bib13) 1986; 33 Pyne (bib10) 1956; 75 The MathWorks Inc., Using Simulink, version 6.6, Natick, MA, 2007, available at Anguita (10.1016/j.neucom.2008.07.008_bib1) 2003; 14 Cichocki (10.1016/j.neucom.2008.07.008_bib2) 1993 10.1016/j.neucom.2008.07.008_bib3 Zhang (10.1016/j.neucom.2008.07.008_bib21) 2004; 34 Lázaro (10.1016/j.neucom.2008.07.008_bib8) 2007; 71 Tank (10.1016/j.neucom.2008.07.008_bib13) 1986; 33 Kennedy (10.1016/j.neucom.2008.07.008_bib7) 1988; 35 Tang (10.1016/j.neucom.2008.07.008_bib12) 2001; 31 10.1016/j.neucom.2008.07.008_bib17 Ferreiraa (10.1016/j.neucom.2008.07.008_bib4) 2007; 71 Zhang (10.1016/j.neucom.2008.07.008_bib18) 2006; 16 Zhang (10.1016/j.neucom.2008.07.008_bib24) 2002; 18 Zhang (10.1016/j.neucom.2008.07.008_bib16) 1992; 39 Zhang (10.1016/j.neucom.2008.07.008_bib23) 2002; 298 10.1016/j.neucom.2008.07.008_bib11 10.1016/j.neucom.2008.07.008_bib20 Iqbal (10.1016/j.neucom.2008.07.008_bib6) 2000; 33 Pyne (10.1016/j.neucom.2008.07.008_bib10) 1956; 75 10.1016/j.neucom.2008.07.008_bib15 Zhang (10.1016/j.neucom.2008.07.008_bib19) 2006; 70 10.1016/j.neucom.2008.07.008_bib14 Hikawa (10.1016/j.neucom.2008.07.008_bib5) 2003; 14 Zhang (10.1016/j.neucom.2008.07.008_bib22) 2005; 171 Mead (10.1016/j.neucom.2008.07.008_bib9) 1989 |
| References_xml | – volume: 33 start-page: 533 year: 1986 end-page: 541 ident: bib13 article-title: Simple neural optimization networks: an A/D converter, signal decision circuit, and a linear programming circuit publication-title: IEEE Trans. Circuits Syst. – volume: 31 start-page: 98 year: 2001 end-page: 105 ident: bib12 article-title: A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity publication-title: IEEE Trans. Syst. Man Cybernet. – volume: 14 start-page: 993 year: 2003 end-page: 1009 ident: bib1 article-title: A digital architecture for support vector machines: theory, algorithm, and FPGA implementation publication-title: IEEE Trans. Neural Networks – year: 1989 ident: bib9 article-title: Analog VLSI and Neural Systems – volume: 298 start-page: 271 year: 2002 end-page: 278 ident: bib23 article-title: A dual neural network for convex quadratic programming subject to linear equality and inequality constraints publication-title: Phys. Lett. A – volume: 14 start-page: 1028 year: 2003 end-page: 1037 ident: bib5 article-title: A digital hardware pulse-mode neuron with piecewise linear activation function publication-title: IEEE Trans. Neural Networks – volume: 71 start-page: 78 year: 2007 end-page: 87 ident: bib8 article-title: Hardware architecture for a general regression neural network coprocessor publication-title: Neurocomputing – volume: 75 start-page: 139 year: 1956 end-page: 143 ident: bib10 article-title: Linear programming on an electronic analogue computer publication-title: Trans. Am. Inst. Electrical Eng. – reference: The MathWorks Inc., Simulink HDL Coder User's Guide, version 1.1, Natick, MA, 2007, available at – reference: M.A. Shanblatt, A Simulink-to-FPGA implementation tool for enhanced design flow, in: Proceedings of the IEEE International Conference on Microelectronic Systems Education, 2005, pp. 89–90. – volume: 35 start-page: 554 year: 1988 end-page: 562 ident: bib7 article-title: Neural networks for nonlinear programming publication-title: IEEE Trans. Circuits Syst. – volume: 18 start-page: 923 year: 2002 end-page: 931 ident: bib24 article-title: A dual neural network for bi-criteria kinematic control of redundant manipulators publication-title: IEEE Trans. Robot. Autom. – volume: 34 start-page: 2126 year: 2004 end-page: 2133 ident: bib21 article-title: A unified quadratic programming based dynamical system approach to joint torque optimization of physically constrained redundant manipulators publication-title: IEEE Trans. Syst. Man Cybernet. Part B – volume: 33 start-page: 1619 year: 2000 end-page: 1627 ident: bib6 article-title: Predicted region of stability for balance recovery: motion at the knee joint can improve termination of forward movement publication-title: J. Biomech. – reference: The MathWorks Inc., Using Simulink, version 6.6, Natick, MA, 2007, available at – volume: 71 start-page: 71 year: 2007 end-page: 77 ident: bib4 article-title: A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function publication-title: Neurocomputing – volume: 70 start-page: 513 year: 2006 end-page: 524 ident: bib19 article-title: A set of nonlinear equations and inequalities arising in robotics and its online solution via a primal neural network publication-title: Neurocomputing – reference: Y. Zhang, Towards piecewise-linear primal neural networks for optimization and redundant robotics, in: Proceedings of IEEE International Conference on Networking, Sensing and Control, 2006, pp. 374–379. – reference: Y. Zhang, On the LVI-based primal-dual neural network for solving online linear and quadratic programming problems, in: Proceedings of the American Control Conference, 2005, pp. 1351–1356. – year: 1993 ident: bib2 article-title: Neural Networks for Optimization and Signal Processing – reference: A.A.H. El-Shafei, M.I. Sobhy, A time-multiplexing simulator for cellular neural network (CNN) using SIMULINK, in: Proceedings of the IEEE International Symposium on Circuits and Systems, vol. 3, 1998, pp. 167–170. – volume: 39 start-page: 441 year: 1992 end-page: 452 ident: bib16 article-title: Lagrange programming neural networks publication-title: IEEE Trans. Circuits Syst. – volume: 16 start-page: 177 year: 2006 end-page: 184 ident: bib18 article-title: Inverse-free computation for infinity-norm torque minimization of robot manipulators publication-title: Mechatronics – reference: . – volume: 171 start-page: 1264 year: 2005 end-page: 1281 ident: bib22 article-title: Exploiting Hessian matrix and trust-region algorithm in hyperparameters estimation of Gaussian process publication-title: Appl. Math. Comput. – volume: 70 start-page: 513 year: 2006 ident: 10.1016/j.neucom.2008.07.008_bib19 article-title: A set of nonlinear equations and inequalities arising in robotics and its online solution via a primal neural network publication-title: Neurocomputing doi: 10.1016/j.neucom.2005.11.006 – volume: 34 start-page: 2126 issue: 5 year: 2004 ident: 10.1016/j.neucom.2008.07.008_bib21 article-title: A unified quadratic programming based dynamical system approach to joint torque optimization of physically constrained redundant manipulators publication-title: IEEE Trans. Syst. Man Cybernet. Part B doi: 10.1109/TSMCB.2004.830347 – volume: 14 start-page: 993 issue: 5 year: 2003 ident: 10.1016/j.neucom.2008.07.008_bib1 article-title: A digital architecture for support vector machines: theory, algorithm, and FPGA implementation publication-title: IEEE Trans. Neural Networks doi: 10.1109/TNN.2003.816033 – volume: 298 start-page: 271 issue: 4 year: 2002 ident: 10.1016/j.neucom.2008.07.008_bib23 article-title: A dual neural network for convex quadratic programming subject to linear equality and inequality constraints publication-title: Phys. Lett. A doi: 10.1016/S0375-9601(02)00424-3 – year: 1993 ident: 10.1016/j.neucom.2008.07.008_bib2 – volume: 39 start-page: 441 issue: 7 year: 1992 ident: 10.1016/j.neucom.2008.07.008_bib16 article-title: Lagrange programming neural networks publication-title: IEEE Trans. Circuits Syst. doi: 10.1109/82.160169 – volume: 71 start-page: 71 year: 2007 ident: 10.1016/j.neucom.2008.07.008_bib4 article-title: A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function publication-title: Neurocomputing doi: 10.1016/j.neucom.2006.11.028 – volume: 18 start-page: 923 issue: 6 year: 2002 ident: 10.1016/j.neucom.2008.07.008_bib24 article-title: A dual neural network for bi-criteria kinematic control of redundant manipulators publication-title: IEEE Trans. Robot. Autom. doi: 10.1109/TRA.2002.805651 – volume: 33 start-page: 1619 issue: 12 year: 2000 ident: 10.1016/j.neucom.2008.07.008_bib6 article-title: Predicted region of stability for balance recovery: motion at the knee joint can improve termination of forward movement publication-title: J. Biomech. doi: 10.1016/S0021-9290(00)00129-9 – volume: 31 start-page: 98 issue: 1 year: 2001 ident: 10.1016/j.neucom.2008.07.008_bib12 article-title: A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity publication-title: IEEE Trans. Syst. Man Cybernet. doi: 10.1109/3477.907567 – volume: 171 start-page: 1264 year: 2005 ident: 10.1016/j.neucom.2008.07.008_bib22 article-title: Exploiting Hessian matrix and trust-region algorithm in hyperparameters estimation of Gaussian process publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2005.01.113 – ident: 10.1016/j.neucom.2008.07.008_bib14 – ident: 10.1016/j.neucom.2008.07.008_bib11 doi: 10.1109/MSE.2005.12 – volume: 33 start-page: 533 issue: 5 year: 1986 ident: 10.1016/j.neucom.2008.07.008_bib13 article-title: Simple neural optimization networks: an A/D converter, signal decision circuit, and a linear programming circuit publication-title: IEEE Trans. Circuits Syst. doi: 10.1109/TCS.1986.1085953 – volume: 14 start-page: 1028 issue: 5 year: 2003 ident: 10.1016/j.neucom.2008.07.008_bib5 article-title: A digital hardware pulse-mode neuron with piecewise linear activation function publication-title: IEEE Trans. Neural Networks doi: 10.1109/TNN.2003.816058 – volume: 16 start-page: 177 year: 2006 ident: 10.1016/j.neucom.2008.07.008_bib18 article-title: Inverse-free computation for infinity-norm torque minimization of robot manipulators publication-title: Mechatronics doi: 10.1016/j.mechatronics.2005.11.003 – ident: 10.1016/j.neucom.2008.07.008_bib20 – volume: 35 start-page: 554 issue: 5 year: 1988 ident: 10.1016/j.neucom.2008.07.008_bib7 article-title: Neural networks for nonlinear programming publication-title: IEEE Trans. Circuits Syst. doi: 10.1109/31.1783 – ident: 10.1016/j.neucom.2008.07.008_bib17 – year: 1989 ident: 10.1016/j.neucom.2008.07.008_bib9 – ident: 10.1016/j.neucom.2008.07.008_bib3 doi: 10.1109/ISCAS.1998.703939 – ident: 10.1016/j.neucom.2008.07.008_bib15 – volume: 75 start-page: 139 year: 1956 ident: 10.1016/j.neucom.2008.07.008_bib10 article-title: Linear programming on an electronic analogue computer publication-title: Trans. Am. Inst. Electrical Eng. – volume: 71 start-page: 78 year: 2007 ident: 10.1016/j.neucom.2008.07.008_bib8 article-title: Hardware architecture for a general regression neural network coprocessor publication-title: Neurocomputing doi: 10.1016/j.neucom.2007.01.012 |
| SSID | ssj0017129 |
| Score | 2.0556738 |
| Snippet | In view of parallel-processing nature and circuit-implementation convenience, recurrent neural networks are often employed to solve optimization problems.... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 1679 |
| SubjectTerms | Circuit implementation Linear programs MATLAB Simulink modeling and simulation Neural networks Quadratic programs |
| Title | MATLAB Simulink modeling and simulation of LVI-based primal–dual neural network for solving linear and quadratic programs |
| URI | https://dx.doi.org/10.1016/j.neucom.2008.07.008 |
| Volume | 72 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Complete Freedom Collection [SCCMFC] customDbUrl: eissn: 1872-8286 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0017129 issn: 0925-2312 databaseCode: ACRLP dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Science Direct customDbUrl: eissn: 1872-8286 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0017129 issn: 0925-2312 databaseCode: .~1 dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: ScienceDirect Freedom Collection Journals customDbUrl: eissn: 1872-8286 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0017129 issn: 0925-2312 databaseCode: AIKHN dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1872-8286 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0017129 issn: 0925-2312 databaseCode: AKRWK dateStart: 19930201 isFulltext: true providerName: Library Specific Holdings |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEB7W9eLFt_hccvAat22atjmuouz6uuiKt5JXYVXqqrsnQfwP_kN_iZk2FQVR8FQInVKaaeab5JtvAHa1jBiTiaBCiozGTCqqRKyp1pxnKrWmYFjvfHae9Ifx8TW_bsFBUwuDtEq_9tdrerVa-5Gu_5rd8WjUvQhE5LKoMELM42AFn4FZF3-yrA2zvcFJ__zzMCENo1pyL-IUDZoKuormVdop0kZqUiXKGWY_R6gvUedoEeY9XCS9-o2WoGXLZVhoWjEQ_2euwPNZ7_K0t08uRkh3Km9J1eHGhSUiS0OecLSaAnJfkNOrAcXgZcgYpSbu3l_fsCCLoLRldamI4cShWeIcEzccCGJR-Vg962EqDXqNJp7a9bQKw6PDy4M-9X0VqHYJwoQqB0uMSz0cWlCB0jY2QWGNULgl5RIga4VUDJGMEqito2zGZVrooog4ixNt2Bq0y_vSrgNJXHoYWa6S1OUlQWAFj8OgCFTCjQoTGW4Aa75lrr3oOPa-uMsbdtlNXs-A74eJp-HZBtBPq3EtuvHH_WkzTfk358ldXPjVcvPfllswVx8sIR1tG9qTx6ndcfhkojows_cSdrwXfgAyUOfJ |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3JTsMwELUKHODCjiirD1xNEydO4mOpqFpoe6Gg3iJvkQoolNKekBD_wB_yJXgSB4GEQOIUybKjyJ543rPfzCB0ogQNAhFxwgVPSBgISSQPFVGKsUTGRmcBxDv3B1HnOrwYsVENtapYGJBVur2_3NOL3dq1NNxsNibjcePK49SyKJ8C5rGwgi2gpZDRGBjY6cunzsOPfVom3KOMQPcqfq4QeeVmDqKRUlIJyQyTn_3TF5_TXkerDiziZvk9G6hm8k20VhViwO6_3ELP_eaw1zzDV2MQO-V3uKhvY50SFrnGT9BaLAB-yHDvpkvAdWk8gUQT9--vbxCOhSGxZfEoZOHYYllszRKOGzAgUTEt3vU4FxpsRmEn7HraRtft82GrQ1xVBaIsPZgRaUGJtsTDYgXpSWVC7WVGcwkHUpb-GMOFDADHSA6ZdaRJmIgzlWWUBWGkdLCDFvOH3OwiHFlySA2TUWxZiecZzkLfyzwZMS39SPh1FFRzmSqXchwqX9ynlbbsNi1XwFXDhLvwpI7I56hJmXLjj_5xtUzpN9NJrVf4deTev0ceo-XOsN9Le93B5T5aKa-YQJh2gBZn07k5tEhlJo8KS_wAIvjokQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=MATLAB+Simulink+modeling+and+simulation+of+LVI-based+primal%E2%80%93dual+neural+network+for+solving+linear+and+quadratic+programs&rft.jtitle=Neurocomputing+%28Amsterdam%29&rft.au=Zhang%2C+Yunong&rft.au=Ma%2C+Weimu&rft.au=Li%2C+Xiao-Dong&rft.au=Tan%2C+Hong-Zhou&rft.date=2009-03-01&rft.pub=Elsevier+B.V&rft.issn=0925-2312&rft.eissn=1872-8286&rft.volume=72&rft.issue=7&rft.spage=1679&rft.epage=1687&rft_id=info:doi/10.1016%2Fj.neucom.2008.07.008&rft.externalDocID=S0925231208004165 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0925-2312&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0925-2312&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0925-2312&client=summon |