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Description: 我懂得还很少，但是我所传的是我自己编写的关于用遗传算法实现语音识别的东西，欢迎批评指正-I know very little, but I have of myself prepared on Genetic Algorithms Speech Recognition things, welcome criticism correction
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Size: 3971786 |
Author: yin |
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Description: 一种基于改进径向基神经网络的人脸图像识别方法-RBFNN the Face Image Recognition
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Size: 231944 |
Author: 李豫捷 |
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Description: 是一个用人工神经网络实现的人脸识别程序，是一个学习人脸识别和神经网络的好东西。 RBF 2002
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Size: 2662 |
Author: huangtaiquan@gmail.com |
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Description: 用RBF网络实现字符识别-Realize character recognition using RBF Net.
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Size: 323584 |
Author: 余劲 |
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Description: 我懂得还很少，但是我所传的是我自己编写的关于用遗传算法实现语音识别的东西，欢迎批评指正-I know very little, but I have of myself prepared on Genetic Algorithms Speech Recognition things, welcome criticism correction
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Size: 3971072 |
Author: yin |
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Description: 这是一个用matlab实现的RBF神经网络手写数字识别算法.此算法加入相应的手写数字图后可以运行.-This is a realization of using Matlab RBF neural network recognition algorithm handwritten figures. This algorithm adherence to the corresponding figures handwritten map after the run.
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Size: 2048 |
Author: 陈华 |
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Description: RBF神经网络用语语音识别， 自己写的程序！-RBF neural network language speech recognition, write their own procedures.
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Size: 1301504 |
Author: qf |
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Description: 小波神经网络用语孤立词语音识别，自己做的程序，-wavelet neural network terminology isolated Speech Recognition, their own procedures,
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Size: 1025024 |
Author: qf |
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Description: SVM用于模式识别
整理别人的代码（原来的是英文）所得：
kernel.m用于内积矩阵的计算
svcplot.m用于绘图
svm168.m是主程序
testlin.m是采用线形内积函数的支持向量机应用的 文件
testrbf.m是采用RBF内积函数的支持向量机应用 的 文件
每个文件中都有说明。
仿真平台matlab7.0, 仿真全部通过
将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。
打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。
-SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.
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Size: 6144 |
Author: 郑军 |
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Description: svm(support vector machine)的训练识别算法程序-svm (support vector machine) training procedures Recognition Algorithm
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Size: 813056 |
Author: 李啸 |
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Description: 用于语音识别中语音特征的训练网络，其中的输入文件为你的特征存储地址，和训练出的特征的目标位置，其它的不需要改变-for speech recognition voice characteristics of the training network, the input of your document storage feature address, training and the characteristics of the target, the other need not change
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Size: 424960 |
Author: 吉芳芳 |
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Description: RBF 神经网络应用于模式识别 -RBFNN used pattern recognition RBFNN used pattern recognition
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Size: 2048 |
Author: |
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Description: 一种基于改进径向基神经网络的人脸图像识别方法-RBFNN the Face Image Recognition
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Size: 231424 |
Author: 李豫捷 |
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Description: 用RBF实现的目标图象识别程序,C实现,可以应用于DSP系统.-RBF realize the goal of using the image recognition program, C realize, can be used in DSP systems.
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Size: 352256 |
Author: 安平 |
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Description: 基于RBF神经网络的语音识别方法的应用研究-RBF neural network-based speech recognition methods applied research
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Size: 1935360 |
Author: yuanjiaxing |
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Description: rbf神经网络用于机械故障的诊断，模式识别，分类等-rbf neural networks for machine fault diagnosis, pattern recognition, classification, etc.
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Size: 1024 |
Author: jiajian |
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Description: RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and learning, fast convergence speed, and has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.)
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Size: 5120 |
Author: gahuan
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Description: RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and learning, fast convergence speed, and has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.)
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Size: 47104 |
Author: 哼哼1214
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Description: RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。
简单说明一下为什么RBF网络学习收敛得比较快。当网络的一个或多个可调参数（权值或阈值）对任何一个输出都有影响时，这样的网络称为全局逼近网络。由于对于每次输入，网络上的每一个权值都要调整，从而导致全局逼近网络的学习速度很慢。BP网络就是一个典型的例子。(RBF network can approximate arbitrary non-linear functions, can deal with the laws that are difficult to analyse in the system, has good generalization ability, and has very fast learning.
The convergence rate has been successfully applied to non-linear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing and system construction.
Modeling, control and fault diagnosis.
Simply explain why RBF network learning converges faster. When one or more adjustable parameters (weights or thresholds) of the network are applied to any output
When there is an impact, such a network is called a global approximation network. For each input, each weight on the network has to be adjusted, which leads to global approximation.
The learning speed of the network is very slow. BP network is a typical example.
If only a few connection weights affect the output for a local area of the input space,)
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Size: 2573312 |
Author: shunzi1999 |
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Description: 基于RBF的手写数字图像识别，matlab程序，欢迎下载交流(Based on RBF handwritten digital image recognition, matlab program, welcome to download and exchange)
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Size: 216064 |
Author: 戛剑生 |
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