Experimental Study of Learning Capability for Parallel-type Neuron Network

Parallel-type neuron network (PNN) is researched to improve on decreases in capabili- ties of a neuron network by the interference of learning caused between outputs of two or more outputs BP network (BPN) and the difficulty for common achievement of middle layers used for its each output. Research to compare prediction accuracies of nonlinear time series signals prediction systems using BPN and PNN has been performed so far. However, it has not attained demonstrating an existence of dominance concerning all prediction accuracies of PNN to BPN. Then, experimental evaluation for the dominance concerning all outputs of PNN which exists theoretically by results of comparison concerning learning rules of BPN and PNN was performed using nonlinear time series signals prediction systems in this research. As a result, the dominance was shown.