Title :
XCSF with Neural Prediction
Author :
Lanzi, Pier Luca ; Loiacono, Daniele
Author_Institution :
Politecnico di Milano, Milan
Abstract :
We extend XCSF with neural prediction and replace the linear prediction function used in XCSF with a feedforward multilayer neural network. Each classifier exploits a neural network to approximate the payoff surface associated to the target problem while the genetic algorithm adapts both classifier conditions, classifier actions, and the network structure. We compare XCSF with neural prediction to XCSF with linear prediction. Our results show that XCSF with neural prediction, XCSFNN, can outperform XCSF.
Keywords :
genetic algorithms; multilayer perceptrons; pattern classification; XCSF; classifier; feedforward multilayer neural network; genetic algorithm; payoff surface; Computer networks; Feedforward neural networks; Genetic algorithms; Laboratories; Learning; Multi-layer neural network; Neural networks; Neurofeedback; State estimation; Table lookup;
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
DOI :
10.1109/CEC.2006.1688588
