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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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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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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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* 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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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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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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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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Backpropagation neural network with txt input and output writen in c++.
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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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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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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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The esiest way to learn the backpropagation algorithm and theory.
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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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a sample of back propagation in neural network
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training for backpropagation neural networl
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The following java code is based on a multi-layer
Back Propagation Neural Network Class (BackPropagation.class)
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Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve
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