DocumentCode :
3327164
Title :
A neural network structure based on pulse-train arithmetic
Author :
Miura, Mamoru ; Goishi, Masaru ; Takahashi, Katsuhiko ; Chiba, Norisnige ; Tayama, Norio
Author_Institution :
Dept. of Comput. Sci., Iwate Univ., Morioka, Japan
fYear :
1991
fDate :
28 Oct-1 Nov 1991
Firstpage :
1339
Abstract :
A Hopfield neural network with a simple structure based on a pulse-train signal arithmetic has been developed. It is both analog and digital in nature and involves hybrid system concepts. It is implemented by using only two types of principle elements, a neuron module and a synapse module. The neural network proposed performs pulse-train signal processing directly. The advantages of this design are a simple operating mechanism, homogeneous implementation and expandability
Keywords :
neural nets; signal processing; Hopfield neural network; expandability; hybrid system concepts; neural network structure; neuron module; pulse-train arithmetic; pulse-train signal processing; synapse module; Amplitude modulation; Arithmetic; Biomedical signal processing; Frequency; Hopfield neural networks; Neural networks; Neurons; Pulse modulation; Pulse width modulation; Space vector pulse width modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
Type :
conf
DOI :
10.1109/IECON.1991.239074
Filename :
239074
Link To Document :
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