Artificial intelligence

Abstract: The work is devoted to the biosensor recognition in the space of physiological (visual, auditory, olfactory, etc.) signs. The technique of the combined use of biosensing capabilities of living creatures, their situational physiological reactions and the training of artificial neural networks for recognition of classes is proposed. The approach is based on coeducation of living beings and artificial neural networks. This allows to transform the receptor complex of biodetectors signs in the space of simple behaviors. An algorithm for constructing models of object recognition in a neural environment emulators of Statistika Neural Network is formed.

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