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    Expert conclusion

    for the scientific work “Neuroquad”

    by Igor V. Boshchenko

    Having familiarized with scientific work “Neuroquad” by Igor V. Boshchenko , devoted to the theory of creating new generation neural networks, one can draw the conclusion that the paper is of great scientific and practical value. It is obvious that the paper opens extremely new perspectives in the making of Artificial Life and is significant step to creating of Artificial Intelligence. The techniques used by Igor V. Boshchenko are known, taken separately, and applied in modern engineering, but being used together make absolutely new effect.

    Among especially significant methods we can consider the formalization and the way of realization of the function “Pleasure-Displeasure”, appearance of non-biological system with showings of living system. Moreover we pay attention to the strong backing of theoretical conclusions by the data of medicinal, neurobiological and psychological researches, and to intimate knowledge of the research subject. However it is necessary to be said that the new neural network needs much more time for training comparing with today known neural networks, but at the same time it is more adaptable, more universal and self-training one. On the base of the paper it is possible to defense some other dissertations.

    The fields of applications of new generation neural networks are practically unlimited. The most obvious and perspective scopes are face recognition systems and systems of the other biometrical information; comprehensive dynamic objects recognition systems and direction in the real time; automated motor and tractor systems, domestic and industrial robots, self-training security arrangements and others.

    On the base of the done research the new generation neural network can be realized within 1-2 years supplying proper investment, later it can make industrial standard.

    Director General, corporation “Sonda”, Ph.D., Anatoly S. Bokov

     

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    Миасс, 2004