ADN-analysis and development of distributed neural networks for intelligent applications

Abstract

This article begins by explaining the concept of distributed neural networks. It then goes on to present a program library designed to support the development of such networks. In this context, distributed neural networks are seen as supernetworks comprising a number of subnetworks that can communicate with one another. Such supernetworks are intended to facilitate the modeling of complex and heterogeneous realities. Each subnetwork is trained independently of the others, according to the learning algorithm or algorithms that govern it. Once trained, the subnetworks are interconnected in such a way as to circulate information through the network as a whole. The distributed network library is an application of research in this area. It allows for the creation of distributed networks, the individual training of subnetworks, and communication between subnetworks. The library's interface makes it as much a tool for research as it is a program for neural network development for the uninitiated.<>