DocumentCode
1909296
Title
An analytical learning algorithm for the dendro-dendritic artificial neural network via linear programming
Author
Ling, Bo ; Salam, Fathi M A
Author_Institution
Dept. of Electr. Eng., Michigan State Univ., E. Lansing, MI, USA
fYear
1993
fDate
1993
Firstpage
1802
Abstract
An analytical learning algorithm to find the weight matrix of the dendro-dendritic neural network is presented. This learning algorithm utilizes linear programming to find all (necessarily) non-negative and small weights. A sufficient stability criterion is given, which guarantees all stored patterns to be asymptotically stable
Keywords
learning (artificial intelligence); linear programming; matrix algebra; neural nets; analytical learning algorithm; dendro-dendritic neural network; linear programming; stored patterns; sufficient stability criterion; weight matrix; Algorithm design and analysis; Artificial neural networks; Hopfield neural networks; Linear programming; MOSFETs; Neural networks; Neurofeedback; Neurons; Stability criteria; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298830
Filename
298830
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