An all-MOS analog feedforward neural circuit with learning
- 4 December 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 2508-2511
- https://doi.org/10.1109/iscas.1990.112520
Abstract
An all-MOS circuit realization for a feedforward artificial neural network is described. An all-MOS realization of a modified learning rule is introduced. In addition to analytical verification the modified learning rule is shown, via computer code as well as SPICE simulations, to successfully store into the network any given analog values (within the permissible range). An all-MOS architecture for a prototype two-layer artificial neural network is specifically tested via SPICE simulations. The results demonstrate the learning capability of the all-MOS circuit realization and establish a VLSI modular architecture for composing a large-scale neural network system Author(s) Salam, F.M.A. Dept. of Electr. Eng., Michigan State Univ., E. Lansing, MI, USA Choi, M.-R.Keywords
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