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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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利用随机反向传播算法及学习率为0.1和sigmoid函数，构造singmoid网络，训练它用来将模式分别分到w1和w2两个类中。
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backpropagation algorithm program
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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.
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％ The activatio
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利用随机反向传播网络归类的学习算法。它是LMS算法的自然延伸，也是多层神经网络的有监督训练。-Classify using a backpropagation network with stochastic learning algorithm。
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DigitalEyes is an OCR (Optical Character Recognizer) developed in C/Caml.
usage : ./digitaleyes[.opt] [processes in chronological order] file
-noise Reduces image noise.
-rotate Finds angle and rotate image.
-lessons Builds the lessons
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this program applying artificial intelegence with backPropagation algorithm
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BP neural code
the backpropagation algorithm nwueal implementation in matlab, the code for training element wise
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A MLP code with backpropagation training algorithm designed for classification problems.
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A single perceptron code with backpropagation training algorithm designed for classification problems.
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A MLP code with backpropagation training algorithm designed for aproximation of functions problems.
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Classify using a backpropagation recurrent network with a batch learning algorithm
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BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm.
The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Desig
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a back propogation algorithm implementation
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This "classic" style of neural network is used for spontaneously generating an algorithm for the analysis of numeric patterns. The goal is to "teach" the network how to analyze a desired set of numeric inputs. For instance, the network might be taugh
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Purpose: This program used for testing source code in
* Chapter 5: Introduction to Neural Networks and the Backpropagation Algorithm
* Book: AI Application Programming
-Purpose: This program used for testing source code in
* Chap
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backpropagation algorithm
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this to solve the problem of xnor using backpropagation algorithm-this is to solve the problem of xnor using backpropagation algorithm
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backpropagation algorithm for train nn
but it have some problem. its need to redo
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