LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programming

The dual heuristic programming (DHP) approach has a superior ability for solving approximate dynamic programming problems in adaptive critic designs (ACD). The common approaches applied in the DHP are design the multilayer feedforward neural networks (MLFNN) as the differential model of the plant fo...

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Veröffentlicht in:	2009 International Joint Conference on Neural Networks S. 903 - 908
Hauptverfasser:	Si-Yao Fu, Guo-Sheng Yang, Zeng-Guang Hou
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2009
Schlagworte:	Convergence Dynamic programming Feedforward neural networks Heuristic algorithms Least squares approximation Least squares methods Multi-layer neural network Neural networks Particle swarm optimization Support vector machines
ISBN:	142443548X, 9781424435487
ISSN:	2161-4393
Online-Zugang:	Volltext
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