Self-Organization of the Neuron Collective of Optimal Complexity

Computer Science – Neural and Evolutionary Computing

Scientific paper

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NOLTA-1996, Japan

Scientific paper

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.

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