DocumentCode
2052698
Title
An iterative calculation method of neuron model with sigmoid function
Author
Chujo, Naoya ; Kuroyanagi, Susumu ; Doki, Shinji ; Okuma, Shigeru
Author_Institution
Toyota Central R&D Labs. Inc., Aichi, Japan
Volume
3
fYear
2001
fDate
2001
Firstpage
1532
Abstract
Neural network hardware is necessary for demanding real-time applications such as pattern recognition. In the paper, an improved calculation algorithm of the neuron model with sigmoid function is proposed, which is suitable for hardware implementation. The algorithm is based on the multi dimensional binary search. The neuron circuits implemented on FPGA by the proposed algorithm have shown excellence in size and circuit frequency compared with the conventional circuits with sum of product operation
Keywords
field programmable gate arrays; iterative methods; neural chips; FPGA; circuit frequency; iterative calculation method; multi dimensional binary search; neuron model; sigmoid function; Artificial neural networks; Circuits; Field programmable gate arrays; Frequency; Iterative methods; Multi-layer neural network; Neural network hardware; Neurons; Pattern recognition; Research and development;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location
Tucson, AZ
ISSN
1062-922X
Print_ISBN
0-7803-7087-2
Type
conf
DOI
10.1109/ICSMC.2001.973501
Filename
973501
Link To Document