Ponencia
Analog integrated neural-like circuits for nonlinear programming
Autor/es | Rodríguez Vázquez, Ángel Benito
Domínguez Castro, Rafael Huertas Díaz, José Luis Sánchez Sinencio, Edgar |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1989 |
Fecha de depósito | 2019-10-31 |
Publicado en |
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Resumen | A systematic approach for the design of analog neural nonlinear programming solvers using switched-capacitor (SC) integrated circuit techniques is presented. The method is based on formulating a dynamic gradient system ... A systematic approach for the design of analog neural nonlinear programming solvers using switched-capacitor (SC) integrated circuit techniques is presented. The method is based on formulating a dynamic gradient system whose state evolves in time towards the solution point of the corresponding programming problem. A neuron cell for the linear and the quadratic problem suitable for monolithic implementation is introduced. The design of this neuron and its corresponding synapses using SC techniques is considered in detail. An SC circuit architecture based on a reduced set of basic building blocks with high modularity is presented. Simulation results using a mixed-mode simulator (DIANA) and experimental results from breadboard prototypes are included, illustrating the validity of the proposed techniques |
Cita | Rodríguez Vázquez, Á.B., Domínguez Castro, R., Huertas Díaz, J.L. y Sánchez Sinencio, E. (1989). Analog integrated neural-like circuits for nonlinear programming. En Proceedings of the 32nd Midwest Symposium on Circuits and Systems (234-237), Champaign, USA: Institute of Electrical and Electronics Engineers. |
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