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Elman神经网络的数据预测—电力负荷预测模型研究(neural network data test,research of electric power)

PCA监控程序,即主元分析 ( Principal Component Analysis ， PCA ),这是用MATLAB编写的PCA监控程序(PCA monitoring program)

关于matlab软件学习的电子书，包括怎样在matalab软件中实现统计计算和画图等。(Matlab software to learn about e-books, including how to matalab software to achieve statistical calculations and drawing and so on.)

clustering algorithm paper

Matlab 实用程序百例，学习这些可以让你更快的学会编程。(The Matlab utility 100 cases, learning allows you to learn faster programming.)

模拟斜面上滑动的小球运动，工程力学课程设计(Ball sliding on an inclined plane motion)

一个很好的进行边缘检测的matlab源代码，对于初学边缘处理的人有较大帮助(a good edge detection of Matlab source code for a novice edge with the greater help)

matlab扩展编程教学，有丰富的编程例子，绝版书籍(matlab Extended programming teaching)

说明：  vc++与matlab混合编程快速实现！PDF文档下载(vc++ with matlab realize mixed language programming fast! PDF document download)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)