DocumentCode :
281541
Title :
Implementation of artificial neural networks using current mode analogue circuit techniques
Author :
Houselander, P.K. ; Taylor, J.T.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll., London, UK
fYear :
1989
fDate :
32556
Firstpage :
42491
Lastpage :
42496
Abstract :
The logistic function is a close approximation to the biological neuron´s dendritic input (graded response) versus the output activation (number of action potentials/second). It also has some useful mathematical characteristics and the resulting output is a unipolar signal. An artificial neural network is constructed by cascading these simple neurons in structures consisting of one or more layers
Keywords :
analogue circuits; cascade networks; linear integrated circuits; neural nets; artificial neural networks; cascading; current mode analogue circuit techniques; dendritic input; graded response; logistic function; output activation; unipolar signal;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Current Mode Analogue Circuits, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
197881
Link To Document :
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