MATEC Web Conf.
Volume 76, 201620th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
|Number of page(s)||4|
|Published online||21 October 2016|
Adaptive individual handling for neural network synthesis
Tomas Bata University in Zlín, Faculty of Applied Informatic, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic
a Corresponding author: firstname.lastname@example.org
Neural Network Synthesis is an algorithm capable of creating and learning and artificial neural networks as well as optimizing their structures and connections. The method is based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. Such approach already recorded several successful application considering practical casers of modelling and simulation. This results vindicate efforts for its further development. This paper explores a possibility to make it more effective by adaptive individual handling. The main idea is an intelligent control the process based on complexity of processed neural network structure.
© 2016 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of DAAAM International Vienna.
Key words: neural / network / synthesys / SOMA / adaptive / strategy / structural / optimization
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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