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多种人工神经网络：MATLAB源程序用于训练测试-variety of artificial neural networks : MATLAB source for training tests
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Version : 5.0 (New Version)
1- copy all files and directories to the MATLAB's work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- find the file named "main.m"
3- Double click
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这是一段利用MATLAB中gatool快速实现训练神经网络的遗传算法程序-It was a quick realization of the use of MATLAB, gatool training neural networks, genetic algorithms program
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该程序包包含三个函数，一个用于建立BP神经网络，一个用于训练该网络，最后一个用于测试样本。-The package contains three functions, one for the establishment of BP neural networks, one for training the network, the last one for the test samples.
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模糊神经网络，自己编的，解决神经网络全局收敛问题，训练速度快。-Fuzzy neural networks, own, and to resolve the issue of global convergence of neural network training speed.
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用遗传算法优化bp神经网络的权值，并训练以及验证网络-Bp by using genetic algorithms to optimize the weights of neural networks, and network training and validation
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CNN Class, ver 0.72.
Change log:
Ver 0.72:
Sample GUI added, demonstrating use of convolutional network for handwriten digits recognition.
Training runs 20 faster.
Ver 0.71:
Bug fix: training was stoped after 1 epoch.
Ver 0.70:
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运用神经网络识别简单人脸图形。包括图形处理，训练样本，以及最后识别。-The use of neural networks recognize simple face graphics. Including the graphics processing, training samples, and the final identification.
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RBF. Training radial basis neural networks with the extend Kalman filter
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人工神经网络\神经网络的程序和训练数据 股票预测-Artificial Neural Networks \ neural network stock prediction programs and training data
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Image Compression using Artificial Neural Networks
This code is developed in MATLAB 6.5 and can used in Windows platform. Program contain all necessary files. For training the network use Train.m and Codec.m compress images by trained network.
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这是本人编写的matlab的GUI程序，可以实现交互式的界面。里面的程序是bp神经网络的应用，另一个回归分析的程序还没有写。可以实现的功能是利用神经网络，然后上传数据，根据数据训练网络，然后可以输入部分数据，验证网络。-This is my GUI program written in matlab, you can achieve interactive interface. Bp inside the program is the application of neural networks
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支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。-SVM and BP neural networks, although non-linear regr
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The early detection of arrhythmia is very important
for the cardiac patients. This done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different typ
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包含各种常见的MATLAB程序，如图像去噪、图像识别、RBF神经网络的训练，三次样条插值、求解线性方程组等几十个程序。-MATLAB contains a variety of common procedures, such as image denoising, image recognition, training RBF neural networks, cubic spline interpolation, linear equations, such as dozens program
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matlab程序，使用神经网络估算信号频率，附训练及测试数据(The matlab program uses neural networks to estimate the frequency of signals, along with training and test data)
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BP神经网络和lvq神经网络的MATLAB程序，程序中包含有网络的识别效果图。(BP neural network and LVQ neural network training and pattern recognition)
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Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The entire training process BP neural network.
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神经网络的简单数据训练的程序，通过训练数据生成符合数据的神经网路(A simple data training program for neural networks that generates neural networks that match data through training data.)
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