DocumentCode
2436199
Title
Implementing backpropagation with analog hardware
Author
Withagen, Heini
Author_Institution
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
Volume
4
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
2015
Abstract
The main problem when implementing backpropagation with analog hardware is the offset present in multipliers in the backward path of multilayer neural networks. Here this problem is further investigated and a solution is presented at the cost of the speed of the backpropagation algorithm
Keywords
analogue integrated circuits; analogue multipliers; backpropagation; multilayer perceptrons; neural chips; analog hardware; backpropagation; backward path; multilayer neural networks; multipliers; Adders; Analog circuits; Backpropagation algorithms; Costs; Error correction; Multi-layer neural network; Neural network hardware; Neural networks; Neurons; Pulse width modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374522
Filename
374522
Link To Document