| 论优化BP神经网络的一种改进遗传算法 |
| |
| 引用本文： | 何士龙,苏子林. 论优化BP神经网络的一种改进遗传算法[J]. 科技情报开发与经济, 2011, 21(1): 119-121 |
| |
| 作者姓名： | 何士龙 苏子林 |
| |
| 作者单位： | 鲁东大学交通学院,山东烟台,264025 |
| |
| 摘 要： | 为了全面优化BP神经网络,使之具有较好的泛化性能,改进并设计了一种遗传算法,并通过算法对比测试表明,改进后的遗传算法减少了内存占用量,保证了种群的多样性,提高了算法的运行速度和收敛效果。
|
| 关 键 词： | BP神经网络 遗传算法 内存占用量 种群多样性 运行速度 |
An Improved Genetic Algorithm for Optimizing BP(Back Propagation)Neural Network |
| |
| HE Shi-long,SU Zi-lin. An Improved Genetic Algorithm for Optimizing BP(Back Propagation)Neural Network[J]. Sci-Tech Information Development & Economy, 2011, 21(1): 119-121 |
| |
| Authors: | HE Shi-long SU Zi-lin |
| |
| Affiliation: | HE Shi-long,SU Zi-lin |
| |
| Abstract: | In order to optimize completely BP neural network to make it have better generalization performance,this paper improves and designs a genetic algorithm,and through the comparison and test of algorithms,shows that the improved genetic algorithm reduces the memory footprint,guarantees the population diversity,and improves the algorithm running speed and convergence effect. |
| |
| Keywords: | BP neural network genetic algorithm memory footprint population diversity running speed |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
