Novel Dynamic Fuzzy Neural Network Based on Lazy Learning Algorithm

In order to avoid the over fitting and training and solve the knowledge extraction problem in fuzzy neural networks system. A Lazy Learning Dynamic Fuzzy Neural Network (LL-DFNN) algorithm is proposed. The Learning Set based on Lazy Learning is constituted from input and output. Then the framework o...

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Bibliographic Details
Published in2010 International Conference on Digital Manufacturing & Automation Vol. 1; pp. 984 - 987
Main Authors Zhang Ping, Hao Xiaohong, Ma Donglin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Artificial neural networks
dynamic fuzzy neural network
Fuzzy control
Fuzzy neural networks
Heuristic algorithms
K-VNN
Lazy Learning algorithm
Modeling
Nonlinear dynamical systems
nonlinear system
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ISBN0769542867
9780769542867
DOI10.1109/ICDMA.2010.61

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Summary:In order to avoid the over fitting and training and solve the knowledge extraction problem in fuzzy neural networks system. A Lazy Learning Dynamic Fuzzy Neural Network (LL-DFNN) algorithm is proposed. The Learning Set based on Lazy Learning is constituted from input and output. Then the framework of Lazy Leaning Dynamic Fuzzy Neural Network is designed and its stability is proved. Finally, Simulation results of two level inverted pendulum system indicates that the novel Lazy Learning Dynamic Fuzzy Neural Network is fast, compact, capable in generalization.
ISBN:0769542867
9780769542867
DOI:10.1109/ICDMA.2010.61