| Autor: |
A.G. Sukhov, N.N. Filin, V.N. Efimov, E.V. Arojan |
| Rok vydání: |
2002 |
| Předmět: |
|
| Zdroj: |
The Second International Symposium on Neuroinformatics and Neurocomputers. |
| DOI: |
10.1109/isninc.1995.480887 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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