Development of NEural network simulator for structureactivity COrrelation of molecules : Neco (3)

Performance Evaluation of Self-organized Network and Perceptron

Abstract

A Self-organized network model for high-speed learning was included in the perceptron type Neural network simulator for structure-activity correlation of molecules : Neco. The performance of the Self-organized network model was compared with that of perceptron using twodimensional exclusive OR problem and the relationship between ¹³C-NMR shift and the conformation of norbornane. For practical use, the speed for convergence of the Self-organized network is almost four times faster than that of perceptron though perceptron gives higher order convergence. In the case of ¹³C-NMR shift and conformation of norbornane, a Self-organized network seems to show strong nonlinear classification in comparsion with perceptron.