DocumentCode :
2708153
Title :
A mixed parallel neural networks computing unit implemented in FPGA
Author :
Xiaobin, Ma ; Lianwen, Jin ; Dongsheng, Shen ; Junxun, En
Author_Institution :
Coll. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China
Volume :
1
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
324
Abstract :
A FPGA implementation architecture of neural network (NN) computing unit is proposed in this paper. In the computing unit, link parallelism is designed between the input layer and middle layer of NN; neuron parallelism is designed between the middle layer and output layer. Moreover, the method of hardware implementation of the sigmoid function of NN is improved and a new method for weight locating in computing unit is proposed, which can simply the implementation of the NN greatly.
Keywords :
field programmable gate arrays; neural nets; FPGA; link parallelism; middle layer; mixed parallel neural networks computing unit; neuron parallelism; output layer; sigmoid function; Computer networks; Concurrent computing; Field programmable gate arrays; Hardware; Intelligent networks; Logic; Neural networks; Neurons; Parallel processing; Table lookup;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1279275
Filename :
1279275
Link To Document :
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