Adaptive control of neural network synthesis

Vařacha, Pavel

Title:

Author:

Vařacha, Pavel

Document type:

Conference paper (English)

Source document:

MATEC Web of Conferences. 2017, vol. 125

ISSN:

2261-236X (Sherpa/RoMEO, JCR)

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DOI:

https://doi.org/10.1051/matecconf/201712502061

Abstract:

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.

Full text:

https://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_02061/matecconf_cscc2017_02061.html

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Citace článku v konferenčním sborníku:
VAŘACHA, Pavel. Adaptive control of neural network synthesis. In: MATEC Web of Conferences [online]. EDP Sciences, 2017 [cit. 2024-11-21]. ISSN 2261-236X. Dostupné z: https://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_02061/matecconf_cscc2017_02061.html.

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