Ponencia
Learning in neuro/fuzzy analog chips
Autor/es | Rodríguez Vázquez, Ángel Benito
Vidal Verdú, Fernando |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1995 |
Fecha de depósito | 2020-03-06 |
Publicado en |
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ISBN/ISSN | 0-7803-2570-2 0271-4310 |
Resumen | This paper focus on the design of adaptive mixed-signal fuzzy chips. These chips have parallel architecture and feature electrically-controlable surface maps. The design methodology is based on the use of composite transistors ... This paper focus on the design of adaptive mixed-signal fuzzy chips. These chips have parallel architecture and feature electrically-controlable surface maps. The design methodology is based on the use of composite transistors - modular and well suited for design automation. This methodology is supported by dedicated, hardware-compatible learning algorithms that combine weight-perturbation and outstar. |
Cita | Rodríguez Vázquez, Á.B. y Vidal Verdú, F. (1995). Learning in neuro/fuzzy analog chips. En IEEE International Symposium on Circuits and Systems-ISCAS (2325-2328), Seattle, USA: Institute of Electrical and Electronics Engineers. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Learning in Neuro-Fuzzy.pdf | 396.5Kb | [PDF] | Ver/ | |