摘要
基于BP网络存在的不足,将遗传算法引入到BP网络模型中,建立了高边坡施工期相邻层开挖暂停阶段变形预测遗传神经网络模型,对边坡时效变形进行预测,并对预测的结果进行检验,结果表明模型取得较好的预测效果,可供类似工程参考使用.
Based on the deficiencies of the BP network, the genetic algorithm is introduced into the BP High Side Slope construction adjacent layers excavation suspended phase deformation prediction genetic network model, and a neural network model is established. A time limitation of slope deformation is forecast, and the predicted results are tested. The results show that the prediction model can achieve better results, and can be used as reference for the similar engineering.
出处
《西南民族大学学报(自然科学版)》
CAS
2013年第6期942-947,共6页
Journal of Southwest Minzu University(Natural Science Edition)
关键词
人工神经网络
BP网络
遗传算法
遗传神经网络
变形预测
artificial neural network
BP network
genetic algorithm
genetic neural network
deformation prediction