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Neural networks processing systems in recognition and control problems

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2 Author(s)
Timopheev, A.V. ; Inst. of Inf. & Autom., Acad. of Sci., St. Petersburg, Russia ; Prokhorov, D.V.

The construction principles and architecture of neural network processing systems (NPSs) are considered. Attention is given to mechatronic system adaptation using NPS-based control, an NPS-based robot adaptive control architecture, threshold-polynomial training algorithms for recognition, and probabilistic training algorithms of logical NPSs for recognition

Published in:

Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on

Date of Conference:

7-10 Oct 1992