Learning Algorithm of Neural Networks on Spherical Cap

Abstract

This paper investigates the learning algorithm of neural network on the spherical cap. Firstly, we construct the inner weights and biases from sample data, such that the network has the interpolation property on the sampling points. Secondly, we construct the BP network and BP learning algorithm. Finally, we analyze the generalization ability for the constructed networks and give the numerical experiments.