350 rub
Journal Neurocomputers №5 for 2010 г.
Article in number:
Fault-tolerant functionally redundant artificial neural networks with individual adaptation to neurons faults
Keywords: individual adaptation structurally-homogeneous multifunctional neurons
Authors:
I. V. Potapov
Abstract:
The approaches of fault-tolerant functionally redundant and structurally uniform neural networks developing are considered. The adaptation to faults is realized by setting the values of multifunctional neurons. Criterion of system reliability and com-plexity ratio is produced. Probabilistic model of system working for estimation the reliability measures is derived. Some exam-ples are examined.
Pages: 3-10
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