搜索资源列表
bp1
- bp神经网络算法，用于分类，识别，很不错-bp neural network algorithm for classification, identification, very good
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- 反向传播算法也称BP算法。由于这种算法在本质上是一种神经网络学习的数学模型，所以，有时也称为BP模型。-Back-propagation algorithm, also known as BP algorithm. As a result of this algorithm is essentially a neural network to learn the mathematical model, therefore, sometimes referred to as BP model.
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- 反向传播算法也称BP算法。由于这种算法在本质上是一种神经网络学习的数学模型，所以，有时也称为BP模型。-Back-propagation algorithm, also known as BP algorithm. As a result of this algorithm is essentially a neural network to learn the mathematical model, therefore, sometimes referred to as BP model.
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- BP算法是为了解决多层前向神经网络的权系数优化而提出来的；所以，BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络-BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is
bp_back
- 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法。-This procedure for a transmission error backward three feedforward neural network learning algorithm for guidance.
realizationofmicrowaveeuralnetwork.doc
- 用小波实现的神经网络，并且进行了优化设计-By Wavelet neural network, and optimized design
BpNet_SRC
- 分别用C++、C、Matlab编写的BP神经网络源程序。-Respectively C++, C, Matlab, prepared by BP neural network source.
NeuralNetworks
- 这是研究生神经网络的一个作业，含有源代码，文档描述，参考文献。-This is a graduate of a neural network operation, contains the source code, document descr iption, references.
monituihuosuanfa
- 神经网络中模拟退火算法MATLAB源程序,挺不错的，大家可以学习一下。-Neural networks simulated annealing algorithm in MATLAB source code, very good, we can learn from you.
Classification
- 模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classificat
rbf_pca
- 先运用pca找到主要的影响变量，然后用rbf神经网络建模-First use PCA to find the impact of major variables, and then use the rbf neural network modeling
BP
- bp神经网络的基本算法，功能强大，可以借鉴使用-bp neural network of the basic algorithms, powerful, can learn from the use of
DT1BPDTnet
- 对动态一阶对象采用BP神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object to the use of BP neural network to model the source, after debugging, directly from MATLAB can be run!
DT1RBFGJDTDSYJYnet
- 对动态一阶对象采用RBF神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object to the use of RBF neural network to model the source, after debugging, directly from MATLAB can be run!
DT1RBFnet
- 对动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
DT2RBFDTnet
- 对动态二阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic second-order objects using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
JTRBFGJnet
- 对静态对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-On the static object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
JTRBFnet
- 对静态对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-On the static object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
NDT1BPnet
- 对非线性动态一阶对象采用bp神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Of nonlinear dynamic first-order object using bp neural network modeling of the source, after debugging, directly from MATLAB can be run!
NDT1RBFnet
- 对非线性动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Of nonlinear dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!