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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973501
