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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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backpropagation algorithm in java
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backpropagation algorithm-backpropagation 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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Backpropagation
Backpropagation is a supervised learning algorithm and is mainly used by Multi-Layer-Perceptrons to change the weights connected to the net s hidden neuron layer(s).
The backpropagation algorithm uses a computed output err
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This file include implementation of backpropagation algorithm in java
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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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The main contribution of this paper is using
optimal control theory for improving the convergence
rate of backpropagation algorithm. In the proposed
approach, the learning algorithm of backpropagation
is modeled as a minimum time control prob
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backpropagation algorithm for train nn
but it have some problem. its need to redo
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