Title :
On the analysis and design of neural nets with an implementation via CMOS VLSI
Author :
Salam, Fathi M A
Author_Institution :
Dept. of Electr. Eng. & Syst. Sci., Michigan State Univ., East Lansing, MI, USA
Abstract :
The author presents a mathematical framework for the analysis and consequently the design of neural networks which would guarantee the convergence of solutions and the existence of finite number of steady-state (equilibrium) solutions only. He also introduces certain conditions on the desired memories so that they can be stored and presents a synthesis for the interconnection matrix to store a given set of memories. A CMOS VLSI implementation is briefly described
Keywords :
CMOS integrated circuits; VLSI; integrated memory circuits; network analysis; network synthesis; neural nets; CMOS VLSI implementation; convergence of solutions; design; interconnection matrix; mathematical framework; memories; neural nets; Biological neural networks; Hopfield neural networks; Integrated circuit interconnections; Neural networks; Neurons; Optical amplifiers; Optical computing; Semiconductor device modeling; Stimulated emission; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo
DOI :
10.1109/ISCAS.1988.15093
