首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Chebyshev正交柔性神经网络的混凝土耐久性评估
作者单位:浙江耀江建筑设计有限公司 浙江诸暨311800
摘    要:根据目前混凝土结构耐久性的研究现状,将改进后的Chebyshev正交柔性神经网络应用于结构耐久性评估中,并给出它的学习算法.应用表明,改进后的模型算法简单,线性、非线性逼近度高,而且能够准确预测混凝土结构耐久性.

关 键 词:Sigmoid柔性函数  Chebyshev神经网络  耐久性评估

The Wearing Estimations of Concrete Based on Chebyshev Orthogonal Flexible Neural Network
Authors:Hu Yanfei
Abstract:According to the situation of wearing study of concrete structure,an improved Chebyshev orthogonal flexible neural network can be applied to wearing estimations of concrete structure.The application shows improved mode not only has a better approximation in the linear and nonlinear case but has a simple algorithm,and could estimate the concrete wearing accurately.
Keywords:sigmoid flexible function  Chebyshev neural network  wearing structure
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号