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30-case-analysis-of-neural-network
- 主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimiza
pattern
- Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
foulao
- 包括最小二乘法、SVM、神经网络、1_k近邻法,BP神经网络的整个训练过程,保证准确无误，是学习通信的好帮手。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The entire training process BP neural network, Ensure accurate communication is learning a good helper.
bpfit
- 使用BP神经网络实现一个函数的拟合，效果没有SVM和RBF的效果好，不顾还是可以用的，注意某些参数的调节。-Use BP neural network function fitting, no effect of SVM and RBF effect, despite still can be used, pay attention to adjust certain parameters.
perceptron_fit
- 用感知器，RBF，BP，SVM等进行函数拟合 -Using the perceptron, RBF, BP, SVM to ｆｉｔ ｆｕｎｃｔｉｏｎ
code
- 人脸识别 FA和BP网络的预测 LVQ神经网络的预测——人脸识别 SVM分类与回归 Elman神经网络预测-Face recognition, FA and BP network prediction, LVQ neural network prediction- face recognition, SVM classification and regression, Elman neural network prediction
pso-optimization
- 基于粒子群（pso）的参数寻优，可以做BP和svm的参数寻优。-Based on Particle Swarm (pso) parameter optimization, BP and svm you can do the parameter optimization.
ken-pq05
- BP神经网络用于函数拟合与模式识别，GSM中GMSK调制信号的产生，包括最小二乘法、SVM、神经网络、1_k近邻法。- BP neural network function fitting and pattern recognition, GSM is GMSK modulation signal generation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
noubeng_v20
- BP神经网络的整个训练过程,包括最小二乘法、SVM、神经网络、1_k近邻法,具有丰富的参数选项。- The entire training process BP neural network, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, It has a wealth of parameter options.
oegresmionsupport
- 支持向量机非线性回归通用matlab程序 支持向量机和BP神经网络非线性回归之比较研究,-Support vector machine (SVM) general matlab nonlinear regression support vector machine (SVM) and BP neural network nonlinear regression of the comparative study,
rrgression-machine-neural
- 支持向量机非线性回归通用matlab程序 支持向量机和BP神经网络非线性回归之比较研究,-Support vector machine (SVM) general matlab nonlinear regression support vector machine (SVM) and BP neural network nonlinear regression of the comparative study,
dosninguibhwebarchitecture
- 支持向量机非线性回归通用matlab程序 支持向量机和BP神经网络非线性回归之比较研究,(Support vector machine (SVM) general matlab nonlinear regression support vector machine (SVM) and BP neural network nonlinear regression of the comparative study,)
jengganlan
- 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.
agpdh
- About ultrasonic parking radar ranging, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, BP neural network function fitting and pattern recognition.
function fitting
- Bp\感知器\SVM\RBF的神经网络函数拟合程序，其中大部分都是一维输入一维输出，特别适合刚入门的学习者。(These Program were BP\PERCEPTION\rbf\svm function fitting used matlab)
神经网络
- 神经网络基础代码rbf，bp神经网络，svm代码，hopfiled代码。可以对初学者有很好的用处(This code is suitable for primary stage learning)
LVQ
- 运用LVQ进行人脸识别，得到的误差结果较好，同时又BP，SVM与其进行比较(The use of LVQ for face recognition is better, and the comparison between BP and SVM is compared.)
5
- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
1
- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related th
1
- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related theory,