| GA Based on Structural Formula Binary-coding and Its Applications in BP Networks |
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| 作者姓名： | YU Meng |
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| 摘 要： | According to the topological characteristics of BP networks, a Genetic Algorithm based on the structural formula binary-coding has been designed in this paper. By means of fractionalizing the large-scale solution-space and performing the GA operations to the fractionalized subspaces, the GA's global-convergence and parallelism can be utilized to search the subspace for the optimal solution in the whole solution-space, thus definitude the starting point and narrow the domain for the next BP's local-search. Testing shows that the two-step algorithm (GA-BP) can solve the existed problems in the NN's training such as local minimum, tardy convergence and so on.
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| 关 键 词： | genetic algorithm (GA) neural network (NN) coding optimization |
| 修稿时间： | 2001/3/25 0:00:00 |
GA Based on Structural Formula Binary-coding and Its Applications in BP Networks |
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| YU Meng.GA Based on Structural Formula Binary-coding and Its Applications in BP Networks[J].Storage & Process,2001(4):104-109. |
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| Authors: | YU Meng |
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| Abstract: | According to the topological characteristics of BP networks, a Genetic Algorithm based on the structural formula binary-coding has been designed in this paper. By means of fractionalizing the large-scale solution-space and performing the GA operations to the fractionalized subspaces, the GA's global-convergence and parallelism can be utilized to search the subspace for the optimal solution in the whole solution-space, thus definitude the starting point and narrow the domain for the next BP's local-search. Testing shows that the two-step algorithm (GA-BP) can solve the existed problems in the NN's training such as local minimum, tardy convergence and so on. |
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| Keywords: | genetic algorithm (GA) neural network (NN) coding optimization |
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