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SIMULATED ANNEALING SCHEMES IN TRANSIENTLY CHAOTIC NEURAL NETWORK MODEL.
- Source :
- International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics; 7/30/2004, Vol. 18 Issue 17-19, p2579-2584, 6p
- Publication Year :
- 2004
-
Abstract
- A transiently chaotic neural network (TCNN) is an approximation method for combinatorial optimization problems. The evolution function of self-back connect weight, called annealing function, influences the accurate and search speed of TCNN model. This paper analyzes two common annealing schemes. Furthermore we proposed a new subsection exponential annealing function. Finally, we compared these annealing schemes in TSP problem. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02179792
- Volume :
- 18
- Issue :
- 17-19
- Database :
- Complementary Index
- Journal :
- International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics
- Publication Type :
- Academic Journal
- Accession number :
- 14744089
- Full Text :
- https://doi.org/10.1142/S0217979204025701