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backpropagation 的查询结果
matlab例程 backpropagation algortihm for fisher data
backpropagation algortihm for fisher data
人工智能/神经网络 the attached file contains backpropagation code using visual basic
the attached file contains backpropagation code using visual basic
人工智能/神经网络 Source code Recognize character with backpropagation
Source code Recognize character with backpropagation
技术资料 BP(BackPropagation)反向传播神经网络介绍及公式推导
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…………………………
人工智能/神经网络 自适应(Adaptive)神经网络源程序 The adaptive Neural Network Library is a collection of blocks that implement s
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 (ADA ...
人工智能/神经网络 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural
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 Perce ...
人工智能/神经网络 Single-layer neural networks can be trained using various learning algorithms. The best-known algori
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 pe ...
数值算法/人工智能 Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs
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
...