DocumentCode
2444769
Title
Impact of energy function on a neural network model for optimization problems
Author
Lin, Wei ; Delgado-Frias, Jose G. ; Pechanek, Gerald G. ; Vassiliadis, Stamatis
Author_Institution
Dept. of Electr. Eng., State Univ. of New York, Binghamton, NY, USA
Volume
7
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
4518
Abstract
A neural network model for the solution of optimization problems is studied in this paper. Six different variations of the energy function that governs this network are presented and extensively evaluated. In order to evaluate these energy functions the traveling salesman problem has been used. The evaluation consists of measuring (over a large number of simulations) the following parameters: number of times that the network converges to a valid solution, quality of generated solution, and the number of network update cycles to reach a solution
Keywords
neural nets; optimisation; travelling salesman problems; energy function; neural network model; optimization problems; traveling salesman problem; Cities and towns; Electronic circuits; Energy states; Hopfield neural networks; Microelectronics; Neural networks; Neurons; Resistors; System performance; Traveling salesman problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.375001
Filename
375001
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