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自适应(Adaptive)神经网络源程序
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of
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The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) A
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基于径向基的神经网络程序。根据目标函数获得样本输入输出-Based on radial basis neural network procedures. According to the objective function to obtain a sample input and output
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径向基(RBF)神经网络进行剩余寿命预测,训练输入为30*735的矩阵,输出为1*735-Radial Basis Function (RBF) neural network to predict the remaining life, the training input matrix of 30* 735, 735* 1 output
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利用BP神经网络与RBF(径向基函数)网络对行人、自行车、卡车三类目标进行分类,比较两种网络的分类性能,包含三类目标的数据信息,完整的代码-BP neural network and RBF (Radial Basis Function) network for pedestrians, bicycles, trucks three goals categorize performance comparison of the two networks, data information cont
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有关神经网络的code,来源于论文“Efficient Object Tracking Using K means and Radial Basis Function”-About the neural network code, the paper " Efficient Object Tracking Using K means and Radial Basis Function"
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rbf神经网络函数拟合。径向基函数,由样本选出固定中心值和delta-RBF neural network function fitting.Radial basis function (RBF), fixed center value chosen by the sample and the delta
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A grid-connected wind-photovoltaic (PV) hybrid power system is proposed, and the steady-state model
analysis and the control strategy of the system are presented in this paper. The system consists of the PV
power, wind power, and an intelligent p
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自己编写RBF神经网络程序,RBF神经网络隐层采用标准Gaussian径向基函数,输出层采用线性激活函数,其中数据中心、扩展常数和输出权值均用梯度法求解,它们的学习率均为0.001。其中隐节点数选为10,初始输出权值取[-0.1,0.1]内的随机值,初始数据中心取[-1,1]内的随机值,初始扩展常数取[0.1,0.3]内的随机值,输入采用[0 1]的随机阶跃输入(Write your own RBF neural network, RBF neural network hidden layer
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RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂,比较简单的有K均值聚类,复杂的有遗传聚类,蚁群聚类等,这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
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本代码包括感应器神经网络、线性网络、BP神经网络、径向基函数网络(This code includes a sensor neural network, a linear network, a BP neural network, a radial basis function network)
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径向基(RBF)神经网络进行剩余寿命预测,绝对可运行!(Radial Basis Function (RBF) neural network to predict the remaining life)
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SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能:
实验设计:中心复合设计,全因子设计,拉丁超立方体设计,D-optimal和maxmin设计。
代理:克里金法,多项式响应面,径向基神经网络和支持向量回归。
错误和交叉验证的分析:留一法和k折交叉验证,以及经典的错误分析(确定系数,标准误差;均方根误差等;)。
基于代理的优化:高效的全局优化(EGO)算法。
其他能力:通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox
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