The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经路
习成效息息相关者有二:类神经
路架构与
习法则。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经路
习成效息息相关者有二:类神经
路架构与
习法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故障特性的识与跟踪,讨论了一种利用神经
络对非线性故障模式进行在线逼近的鲁棒故障
法。
声明:以上例句、词性分类均由互联资源自动生成,部分未经过人工审核,其表达内容亦不代表本软件的观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
类神经网路学习成效息息相关者有二:类神经网路架构
学习法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故障踪,讨论了一种利用神经网络对非线
故障模式进行在线逼近
鲁棒故障诊断方法。
声明:以上例句、词分类均由互联网资源自动生成,部分未经过人工审核,其表达内容亦不代表本软件
观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与神经网路学习成效息息相关
有二:
神经网路架构与学习法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故障特性的识与跟踪,讨论了一种利用神经网络对非线性故障模式进行在线逼
的鲁棒故障诊断方法。
声明:以上例句、词性由互联网资源自动生成,部
未经过人工审核,其表达内容亦不代表本软件的观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类路学习成效息息相关者有二:类
路架构与学习法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故障特性的识与跟踪,讨论了一种利用
络对非线性故障模式进行在线逼近的鲁棒故障诊断
法。
明:以上例句、词性分类均由互联
资源自动生成,部分未
过人工审核,其表达内容亦不代表本软件的观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
类神经网路学习成效息息相关者有二:类神经网路架构
学习法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故障踪,讨论了一种利用神经网络对非线
故障模式进行在线逼近
鲁棒故障诊断方法。
声明:以上例句、词分类均由互联网资源自动生成,部分未经过人工审核,其表达内容亦不代表本软件
观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经网路学习成效息息相关有二:类神经网路架构与学习法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故障特性的识与跟踪,讨论了一种利用神经网络对非线性故障模式进行在线逼近的鲁棒故障诊断方法。
声明:以上例句、词性分类联网资源自动生成,部分未经过人工审核,其表达内容亦不代表本软件的观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经网路学息息相关者有二:类神经网路架构与学
法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现特性的
识与跟踪,讨论了一种利用神经网络对非线性
模式进行在线逼近的鲁
诊断方法。
声明:以上例句、词性分类均由互联网资源自动生,部分未经过人工审核,其表达内容亦不代表本软件的观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经网路成效息息相关者有二:类神经网路架构与
法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故特性的
识与跟踪,讨论了一种利用神经网络对非线性故
模式进行在线逼近的鲁棒故
方法。
声明:以上例句、词性分类均由互联网资源自动生成,部分未经过人工审核,其表达内容亦不代表本软件的观点;若发现问题,欢迎向我们指正。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经网路学习成效息息相关者有二:类神经网路架构与学习法则。
In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.
为了进一步实现故障特性的识与跟踪,讨论了一种利用神经网络对非线性故障模式进行在线逼近的鲁棒故障诊断方法。
声明:以上例句、词性分类均由互联网资源成,部分未经过人工审核,其表达内容亦不代表本软件的观点;若发现问题,欢迎向我们指正。