The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与网路学习成效息息相关者有二:
网路架构与学习法则。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与网路学习成效息息相关者有二:
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
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。
:以上例句、词性分
均由互联网资源自动生成,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.
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.
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.
为进
故障特性的
识与跟踪,讨
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。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与网路学习成效息息相关者有二:
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.
为了一步实现故障特性的
识与跟踪,讨论了一种利用
网络对非线性故障
行在线逼近的鲁棒故障诊断方法。
声明:以上例句、词性分均由互联网资源自动生成,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.
与类神经路学习成效息息相关者有二:类神经
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
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、词性分类均由互源自动生成,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.
神经网路学习成效息息相关者有二:
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特性的识
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:
例句、词性分
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.
为了进一步实现障特
的
识与跟踪,讨论了一种利用神经网络对非
障模式进行在
逼近的鲁棒
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.
为了实现故障特性的
识与跟踪,讨论了
用神经网络对非线性故障模式
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。