基于结构式二进制编码的遗传算法在及其在BP网络中的应用
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TP183

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GA Based on Structural Formula Binary-coding and Its Applications in BP Networks
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    摘要:

    根据BP网络的拓扑特征,本文设计了基于结构式二进制编码的遗传算法,在该算法中,通过先将庞大的解空间进行分解处理,再将分解后的子空间视为个体进行遗传操作,能借助遗传算法的优势在全局范围内搜索到最优解所在的子空间,从而为下一步应用BP算法进行局部搜索明确了起点,缩小了范围,有效解决了BP算法易陷入局部极小,收敛速度慢甚至不收敛等问题,最后,通过字母识别试验证明了该算法的效率。

    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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余萌.基于结构式二进制编码的遗传算法在及其在BP网络中的应用[J].土木与环境工程学报(中英文),2001,23(4):104-109. YU Meng. GA Based on Structural Formula Binary-coding and Its Applications in BP Networks[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2001,23(4):104-109.10.11835/j. issn.1674-4764.2001.04.021

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  • 最后修改日期:2001-03-25
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