DocumentCode :
3430523
Title :
Neural network with variable excitability of input units (NN-VEIN)
Author :
Sayad, Saed ; Sayad, Javid ; Sayad, Mohammad Hadi
Author_Institution :
Djanbazan Biomed. & Rehab. Eng. Res. Center, Tehran, Iran
fYear :
1991
fDate :
9-10 May 1991
Firstpage :
601
Abstract :
NN-VEIN is a novel approach to the structure of neural networks. In this structure the input units are located in a network of connections. Traditional NN and NN-VEIN are compared. In this structure, input units are located in weighted connections of which the degree may be variable from 0 to N. This degree varies with respect to the quantity of input data. This network is being used to design intelligent systems in medical diagnosis. The input layer in NN-VEIN in comparison with NN is completely different and is a really intelligent process. Clinical diagnosis expert systems created by the use of this network do not need an input pattern to be entered at once, but like an expert physician, any question is based on previous questions
Keywords :
expert systems; medical diagnostic computing; neural nets; NN-VEIN; clinical diagnosis expert systems; input data; input layer; input units; intelligent systems; medical diagnosis; neural networks; structure; weighted connections; Biomedical engineering; Clinical diagnosis; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-87942-638-1
Type :
conf
DOI :
10.1109/PACRIM.1991.160810
Filename :
160810
Link To Document :
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