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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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Backpropagation Neural network implementation in C# .NET
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backpropagtion neural network c
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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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Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the metho
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Neural network source code with 2 learning process using backpropagation algorithms.
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backpropagation mlp neural network
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Make a program to train a Backpropagation neural network which simulates the behavior of an XOR gate.
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This a C code for implementing a neural network(Backpropagation)-This is a C code for implementing a neural network(Backpropagation)
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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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High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
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Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally th
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back probagation in neural network
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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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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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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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307 - Backpropagation Neural Network v1.0 - Namira
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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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test code for backpropagation neural network
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