Self-Organization of the Neuron Collective of Optimal Complexity
Neural and Evolutionary Computing
2007-05-23 v1 Artificial Intelligence
Abstract
The optimal complexity of neural networks is achieved when the self-organization principles is used to eliminate the contradictions existing in accordance with the K. Godel theorem about incompleteness of the systems based on axiomatics. The principle of S. Beer exterior addition the Heuristic Group Method of Data Handling by A. Ivakhnenko realized is used.
Cite
@article{arxiv.cs/0504068,
title = {Self-Organization of the Neuron Collective of Optimal Complexity},
author = {V. Schetinin and A. Kostunin},
journal= {arXiv preprint arXiv:cs/0504068},
year = {2007}
}
Comments
NOLTA-1996, Japan