Backpropagation algortihm for fisher data
标签： Backpropagation algortihm fisher data
上传时间： 2013-12-23
上传用户：weixiao99
the attached file contains Backpropagation code using visual basic
标签： Backpropagation attached contains visual
上传时间： 2013-11-28
上传用户：cainaifa
Source code Recognize character with Backpropagation
标签： Backpropagation Recognize character Source
上传时间： 2013-12-25
上传用户：wfl_yy
该文档为BP(Backpropagation)反向传播神经网络介绍及公式推导详述资料，讲解的还不错，感兴趣的可以下载看看…………………………
标签： 神经网络
上传时间： 2021-11-01
上传用户：默默
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 neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
标签： collection implement Adaptive adaptive
上传时间： 2015-04-09
上传用户：ywqaxiwang
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) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included
标签： Neural collection implement Adaptive
上传时间： 2013-12-23
上传用户：teddysha
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
标签： Single-layer algorithms best-known networks
上传时间： 2015-06-17
上传用户：赵云兴
Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with Backpropagation. ％ ％ The activation functions must be either linear or tanh. The network ％ architecture is defined by the matrix NetDef consisting of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer. ％
标签： back-propagation corresponding input-output algorithm
上传时间： 2016-12-27
上传用户：exxxds
