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bagging_svm MATLAB实现(the matlab code of bagging and svm .)

SVM神经网络的回归预测分析---上证开盘指数预测。 基于matlab的.m文件(SVM Regression analysis of the neural network--- permit opening index forecast. Matlab-based m file)

免注册QQ/MSN号码,直接在网页上聊天/通话/视频,最佳在线客服.(Live Support)

说明：  这是关于DBN时间序列预测的材料，特别适合初学者，可以帮助你们快速学习深度置信网络的预测(This is about DBN time series prediction material, especially suitable for beginners, can help you quickly learn the deep confidence network prediction)

关于支持向量机的Matlab源代码，用于模式识别和非线性问题的程序。对于初学和不想具体了解支持向量机的很有用。(On Support Vector Machines Matlab source code for pattern recognition problems and nonlinear procedures. For beginner and do not want a specific understanding of support vector machine useful.)

降水短期气候预测是一个非常复杂、重要的研究课题。为了提高其预测能力，拟采用1959—2011 年逐月74 项大气环流特征量序列、月平均500 hPa 高度场和月平均海温场，选取预测因子；用主分量分析方法提取样本数据中主要信息为综合因子。用粒子群优化人工神经网络方法，建立宣城市夏季降水短期气候预测模型。对2007—2011 年宣城市夏季降水预报检验结果表明，粒子群优化人工神经网络收敛速度快，迭代次数少；试报平均绝对误差是66.5 mm，绝对值平均相对误差10.5 ，预测精度高，具有很好的应用推广前景。 (Precipitation of short-term climate prediction is a very complex and important research topic. Intends to adopt in order to improve its ability to predict the the 1959-2011 monthly 74 atmospheric circulation feature series, monthly mean 500 hPa height field and monthly average sea surface temperature field, select the predictor extract the sample data using principal component analysis for the Synthesis factor. Artificial neural network using particle swarm optimization method, Xuancheng City in summer rainfall in short-term climate prediction model. 2007-2011 declared the city in summer precipitation forecast verification results show that the particle swarm optimization artificial neural network convergence speed, fewer iterations trial reported an average absolute error is 66.5 mm, the absolute value of the average relative error of 10.5 , high prediction accuracy, good application prospect.)

蚁群优化算法 进行优化 可用于参数寻优 故障诊断(The ant colony optimization algorithm to optimize)

很漂亮的javascript菜单-very nice javascript menu

本程序通过运用socket实现了聊天功能。本程序分为服务器端和客户端。服务器端创建一个socket对象，该对象的listen方法用来监听客户端的连接请求。连接好后 ，创建一个新的socket 用来与客户端进行交互。相应地，客户端建立一个socket，该对象的connect方法与服务器进行连接建立。建立好后开始交互。

说明：  径向基网络BP network and RBF radial basis function network contrast (fool tutorial, 10 seconds learning neural network). pdf(BP network and RBF radial basis function network contrast (fool tutorial, 10 seconds learning neural network). pdf)