DocumentCode :
2049351
Title :
VLSI design for a forward path neuron circuitry of a back propagation neural network
Author :
Rizkalla, Maher E. ; Aldridge, Richard L. ; Gundrum, Harry C.
Author_Institution :
Dept. of Electr. Eng., Indiana Univ., Indianapolis, IN, USA
Volume :
1
fYear :
1996
fDate :
18-21 Aug 1996
Firstpage :
523
Abstract :
This paper describes the hardware design and implementations of the forward path for the back propagation algorithm of an analog neural network. The design considers the voltage range for fractional and floating point processing in multimedia applications. The PSpice simulation using MOSIS device parameters are presented
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; backpropagation; integrated circuit design; neural chips; MOSIS device parameters; PSpice simulation; VLSI design; analog neural network; back propagation neural network; backpropagation algorithm; floating point processing; forward path neuron circuitry; fractional point processing; hardware design; multimedia applications; Adders; Algorithm design and analysis; Analog circuits; Artificial neural networks; Back; Neural network hardware; Neural networks; Neurons; Transconductance; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
Type :
conf
DOI :
10.1109/MWSCAS.1996.594224
Filename :
594224
Link To Document :
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