基于多层前馈神经网络SPDS算法的地质数据非线性分析问题研究

多层前馈神经网络善于解决非线性分析问题,但对于复杂的地质数据,普通的训练算法难以收敛.首先介绍了SPDS算法,并把它用于解决地质数据的非线性分析问题.算法的仿真实验表明,用SPDS算法训练的多层前馈神经网络,比较好地解决了该问题....

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Bibliographic Details
Published in计算机工程与科学 Vol. 36; no. 8; pp. 1528 - 1532
Main Author 戴珂 张少仲 蒋波 白英 王小妹
Format Journal Article
LanguageChinese
Published 大连海事大学信息学院,辽宁大连,116026 2014
Subjects
BP算法
SPDS算法
非线性分析
BP算法
非线性分析
SPDS算法
nonlinear analysis
SPDS algorithm
BP algorithm
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ISSN1007-130X
DOI10.3969/j.issn.1007-130X.2014.08.018

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Summary:多层前馈神经网络善于解决非线性分析问题,但对于复杂的地质数据,普通的训练算法难以收敛.首先介绍了SPDS算法,并把它用于解决地质数据的非线性分析问题.算法的仿真实验表明,用SPDS算法训练的多层前馈神经网络,比较好地解决了该问题.
Bibliography:43-1258/TP
DAI Ke,ZHANG Shao-zhong,JIANG Bo,BAI Ying,WANG Xiao-mei（ 1.School of Information, Dalian Maritime University, Dalian 116026, China;）
The multilayer feed-forward neural network is good at solving the nonlinear analysis problem,but for complex geological data,the common training algorithm is difficult to converge.The SPDS algorithm is proposed to solve the problem of the geological data nonlinear analysis.Simulation results show that the proposed algorithm can be better to solve the problem in the multilayer feed forward neu ral network.
BP algorithm ; SPDS algorithm ; nonlinear analysis
ISSN:1007-130X
DOI:10.3969/j.issn.1007-130X.2014.08.018