XCSF with Neural Prediction
Pier Luca Lanzi, Daniele Loiacono · 2006
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.