Summary
International Symposium on Nonlinear Theory and its Applications
2010
Session Number:B2L-B
Session:
Number:B2L-B3
Scale-Free Property of Affordable Neural Network
Yoshifumi Nishio, Yoko Uwate,
pp.310-313
Publication Date:2010/9/5
Online ISSN:2188-5079
Summary:
We have recently proposed a novel neural network structure called an Affordable Neural Network (AfNN), in which affordable neurons of the hidden layer are considered as the elements responsible for the robustness property as is observed in human brain function. We have confirmed that the AfNN gains good performance both of the generalization ability and the learning ability. In this study, we focus on the firng frequency of neurons in the hidden layer and the amount of weight changes during the learning process. By computer simulations, we confirm that the AfNN generates scale-free properties.