Synthesis Of Artificial Neural Networks By The Means Of Evolutionary Scanning – Preliminary Study

Abstract

This work deals with a problem of synthesis of the artificial neural networks using the evolutional scanning method. The basic task to be solved is to create a symbolic regression algorithm on principles of analytic programming, which will be capable of performing a convenient neural network synthesis. The main motivation here is the computerization of such synthesis and discovering so far unknown solutions.

Analytic Programming Powered by Distributed Self-Organizing Migrating Algorithm Application

“…During the progress many completive ideas, such as creating remote control of Scheduler via ASP .NET services, are proposing and waiting for integration into DISOMA. For more information see [9]. …”

Distributed Self-Organizing Migrating Algorithm And Evolutionary Scanning

“…During the progress many completive ideas, such as creating remote control of Scheduler via ASP .NET services, are proposing and waiting for integration into DISOMA. For more information see (Varacha, Zelinka 2007b). …”