| Issue |
MATEC Web Conf.
Volume 125, 2017
21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
|
|
|---|---|---|
| Article Number | 02061 | |
| Number of page(s) | 4 | |
| Section | Systems | |
| DOI | https://doi.org/10.1051/matecconf/201712502061 | |
| Published online | 04 October 2017 | |
Adaptive Control of Neural Network Synthesis
Tomas Bata University in Zlín, Faculty of Applied Informatics, Zlín, Czech Republic
* Corresponding author: varacha@fai.utb.cz
Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. This synthesis woks as an algorithm capable of creating and learning and artificial neural networks as well as optimizing their structures and connections. This paper introduce an idea of adaptive control of Self-Organising Migration Algorithm based on complexity of processed neural network structure. Such approach already recorded several successful application in modelling and simulation.
© The Authors, published by EDP Sciences, 2017
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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