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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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Neural Network backpropagation
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Backpropagation Artificial Neural Network in C
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《Neural Networks for Text-to-Speech Phoneme Recognition》This paper presents two different artificial neural network approaches for phoneme recognition for text-to-speech applications: Staged Backpropagation Neural Networks and Self-Organizing Maps.
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模式识别课程作业-神经网络分类IRIS数据集.共两层网络，程序有详细注释。程序结果将输出到EXCEL文件中，也很详细。-Course work in pattern recognition- Neural Network Classification IRIS data set. A total of two networks, a detailed program notes. Program results will be output to the EXCEL file, and very
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Backpropagation Network Time-Series Forecasting 源码, 经典的BPN人工神经网络例子源码-Backpropagation Network Time-Series Forecasting source, the classic example of artificial neural network BPN source
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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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Backpropagation neural network with txt input and output writen in c++.
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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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backpropagation for Neural network
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Backpropagation neural network using .NET
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This book provides illustrative examples in C++ that the reader can use as a basis for further experimentation. A key to learning about neural networks to appreciate their inner workings is to experiment. Neural networks, in the end, are fun to learn
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c++ 人工智能神经元系统源代码,给人工智能入门者学习用-This is a set of artificial neural network programs. The later versions are multilayer perceptron (MLP) backpropagation neural networks in which the number of layers and nodes are user-selectable.
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MATLAB neural network backprop code
This code implements the basic backpropagation of
error learning algorithm. The network has tanh hidden
neurons and a linear output neuron.
adjust the learning rate with the slider
-MATL
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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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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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识别手写数字的人工神经网络的发展神经网络概念，如神经元，层，重量和反向传播等概念及c++实现在文中给出-This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you alr
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This a sample of a simple image classification using K-Nearest Neighbor and Backpropagation Neural Network. It uses block averaging in feature extraction process.-This is a sample of a simple image classification using K-Nearest Neighbor and Backprop
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this simple implementation of forecasting using neural network backpropagation-this is simple implementation of forecasting using neural network backpropagation
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