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Title |
Simulated Annealing and Genetic Algorithms Based for Image Segment with Partially Evolved Hopfield Neural Network |
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Author |
Li Zhijun, Zeng Fei, Wang Danqing, Chen Mianyun |
| Citation |
Vol. 6 No. 7 pp. 132-136 |
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Abstract |
A combined optimization of genetic algorithms with simulated annealing has been applied to image segmentation with good results in this paper. The defect of Hopfield neural network is being captured by local optimal solutions, while the defect of genetic algorithms is the low speed of convergence. Both disadvantages mentioned above have been overcome here. Solutions obtained with the converged Hopfield neural network are applied to the genetic algorithm to search for the optimization on the plane of threshold value. |
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Keywords |
Hopfield neural network. Simulated annealing. Genetic algorithms. Optimization |
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