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matlab program for eld

本代码能实现拉格朗日函数拟合，经验证具有很好的插值拟合效果。(This code can achieve the Lagrangian function fitting, interpolation proven with good fitting effect.)

SAX比其他符号算法更简便、高效 在符号化过程中实现了减维降噪 ,保证在符号空间计算出的两个符号序列距离满足实际两个时间序列距离的下界要求 ,即不会出现漏报(SAX (Symbolic Aggregate approXimation))

robotics plot for obstacle avoidance

将NSGA-II 的理念融入粒子群中，并加入保存优秀解的机制，提出MPSO算法。针对MPSO 易陷入局部极值的缺点，加入变邻域机制，通过随机的破坏旧解和重建新解，找到全局最优解，以达到帮助粒子跳出局部极值的目的，提 出VNS-MPSO 算法。(Will the NSGA- II concept into particle swarm, and join save good solution mechanism, MPSO algorithm is put forward. Against disadvantages of MPSO easy to fall into local extremum, join the variable neighborhood mechanism, through the random destruction of the old and rebuild the new solution, find the global optimal solution, to achieve the purpose of help particles jump out of local extremum, The VNS- MPSO algorithm.)

Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994

说明：  Scilab软件与MATLAB功能相似，而且它是一个开源项目。功能强大，使用方法不简单。本教材是学习此软件较详细的资料。(Scilab software with features similar to MATLAB, and it is an open source project. Powerful, simple to use. The materials to learn the software more detailed information.)

svm源码 支持向量机 文本分类算法(the svm source text classification algorithm Support Vector Machine)

simulink 学习资料 (simulink learning )

matlab线性拟合及指数拟合的源程序，并不是利用plotfit函数。(matlab linear fit and exponential fit of the source, not using plotfit function.)