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A new neural network approach to spatiotemporal pattern recognition

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4 Author(s)
Filin, N.N. ; A.B. Kogan Res. Inst. for Neurocybern., Rostov State Univ., Russia ; Sukhov, A.G. ; Efimov, V.N. ; Arojan, E.V.

Concerns dynamic pattern recognition by neural net. There are several research currents: 1. Static network use together with effective technical methods of preprocessing signals; 2. Basic architecture modification in order to cause the network state dependence on prehistory; 3. Setting up of dynamic networks with internal capacity of context information comprehension and the use of the well-known neuroparadigms only as net elements of complex architecture. The approach of our research is based on the biological prototype's principles. They are: three-level functioning; series-parallel analysis and synthesis of ascending and descending information; afferent and efferent matching. A receptive field environment and its structure are defined, and a theoretical aspect description of dynamic neural network set-up for spatiotemporal pattern processing and computer simulation, ABCnet, is given

Published in:

Neuroinformatics and Neurocomputers, 1995., Second International Symposium on

Date of Conference:

20-23 Sep 1995

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