Title :
Analog circuits for electronic neural network
Author :
Abo-Elsoud, M.A.
Author_Institution :
Dept. of Electron. & Electr. Commun., Mansoura Univ., Egypt
Abstract :
A simple neuron for an artificial neural network (ANN) using four analog MOS transistors is described. The synaptic weight (acting as a resistor) is replaced by four MOSFETs operating in the triode region as a linear resistor. The weight of each input can be controlled by a clock signal in order to adapt for a feedforward network, such as a backpropagation chip
Keywords :
MOS integrated circuits; analogue processing circuits; backpropagation; feedforward neural nets; neural chips; analog MOS transistors; artificial neural network; backpropagation chip; clock signal; electronic neural network; feedforward network; linear resistor; triode region; Analog circuits; Artificial neural networks; Biological neural networks; Clocks; Equations; Hopfield neural networks; MOSFETs; Neural networks; Neurons; Resistors;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271348
