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ICANN
2010
Springer
15 years 7 months ago
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Frank-Florian Steege, André Hartmann, Erik ...
ENGL
2006
135views more  ENGL 2006»
15 years 6 months ago
An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor
A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control...
Ieroham S. Baruch, Petia Georgieva, Josefina Barre...
ISNN
2004
Springer
15 years 11 months ago
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm
A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
Yuehui Chen, Bo Yang, Jiwen Dong
IJCNN
2000
IEEE
15 years 10 months ago
Input Window Size and Neural Network Predictors
Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results fro...
Ray J. Frank, Neil Davey, S. P. Hunt
IDEAL
2003
Springer
15 years 11 months ago
Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks
This paper exhaustively discusses and compares the performance differences between radial basis probabilistic neural networks (RBPNN) and radial basis function neural networks (RBF...
Wen-Bo Zhao, De-Shuang Huang, Lin Guo