A Flexible Implementation Method of Distributed ANN

Abstract

The implementation methods of Artificial Neural Network (ANN) can be classified into two types: hardware implementation methods and software implementation methods. The former can build truly distributed, parallel, high-speed ANN, but it is complicated and expensive. The latter can build ANNs on classical computer using software technology. It’s necessary in some cases, although the performance of ANNs built by this type of methods is limited because they are not parallel computing. In this paper, we propose a distributed implementation method based on multi-agent theory. Neurons in ANN are distributed, and the ANN can be easily to extend.