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* Lightweight backpropagation neural network.
* This a lightweight library implementating a neural network for use
* in C and C++ programs. It is intended for use in applications that
* just happen to need a simply neural network and do not
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Lightweight Neural Network
This a lightweight implementation of a backpropagation neural network
routine in C. It doesn t do anything fancy: no millions of different
types of neural networks, no graphical user interface, just the routines
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a matlab code for training a backpropagation neural network
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this is a backpropagation neural network training and testing design for two types of islamic caligraphy pattern recognition as a school project
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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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使用BP神经网络来识别彩色图像的类. 自己取采样样本-apply the backpropagation neural network to classify a color image you choose. You need to determine the number of classes and select the
training samples by yourself.
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A Matlab implementation of a MultiLayer perceptron with backpropagation training with momentum
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fortran的神经网络训练程序。
Phil Brierley提供
更多信息见 www.philbrierley.com
-Neural Network in Fortran90
!! Multilayer Perceptron trained with
!! the backpropagation learning algorithm
!! coded in Fortran90 by Phil Brierley
!! www.philbrierley.com
!
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The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of
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This the error backpropagation algorithm based character recognition program developed in matlab. The program folder contains the training images of some english alphabets & numerals. & trains the neural network using train command in matlab. The neu
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这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy net
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BP神经网络训练程序，基于梯度学习算法，对非线性函数（hermitian）逼近。-The BP neural network training program，which is based on the steepest descent Method，，，backpropagation network (BP) approximation of the nonlinear function。
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Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the train
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Backpropagation, an abbreviation for backward propagation of errors , is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent. The method calculates the gradient of a loss fun
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training for backpropagation neural networl
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