| 基于生态遗传算法的冲击地压预测模型 |
| |
| 引用本文： | 刘潇,张永吉.基于生态遗传算法的冲击地压预测模型[J].辽宁工程技术大学学报(自然科学版),2005,24(Z2):99-101. |
| |
| 作者姓名： | 刘潇 张永吉 |
| |
| 作者单位： | 辽宁工程技术大学,资源与环境工程学院,辽宁,阜新,123000 |
| |
| 摘 要： | 针对传统方法预测冲击地压存在的弊端,采用遗传算法设计的模糊神经网络做为预测模型,为避免传统遗传算法"早熟"问题而使用生态遗传算法对该模糊神经网络进行训练,选择Matlab7.01在PC机上实现该网络模型,并比较BP算法、传统遗传算法以及生态遗传算法这三种算法所训练的网络性能.仿真和实验结果显示生态遗传算法使网络具有良好的收敛性能,提高了冲击地压预测的准确性.
|
| 关 键 词： | 冲击地压 模糊神经网络 早熟 生态遗传算法 Matlab7.01 |
| 文章编号： | 1008-0562(2005)增刊-0099-03 |
| 修稿时间： | 2005年8月22日 |
Model of rockbursts' prediction based on niche genetic algorithms |
| |
| LIU Xiao,ZHANG Yong-Ji.Model of rockbursts'''' prediction based on niche genetic algorithms[J].Journal of Liaoning Technical University (Natural Science Edition),2005,24(Z2):99-101. |
| |
| Authors: | LIU Xiao ZHANG Yong-Ji |
| |
| Abstract: | Because of the defect of traditional methods to forecast rockburst,the genetic algorithms is used apply in the fuzzy neural networks' design.To avoid the premature of genetic algorithms(GA),the niche genetic algorithms(NGA)is used to carry out the training for the fuzzy neural network.Matlab7.01 is chosen to realize the fuzzy neural network model on PC,and to compare the networks' performance which BP,GA and NGA train. Are compared.Furthermore,the test results show that the trained FNN employing NGA hads a satisfying global convergence and improves the prediction with higher accuracy. |
| |
| Keywords: | rockburst fuzzy neural network premature niche genetic algorithm Matlab7 01 |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
