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层次分析法（Analytic Hierarchy Process，简称AHP）是将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。该方法是美国运筹学家匹茨堡大学教授萨蒂于20世纪70年代初，在为美国国防部研究"根据各个工业部门对国家福利的贡献大小而进行电力分配"课题时，应用网络系统理论和多目标综合评价方法，提出的一种层次权重决策分析方法。(AHP (Analytic Hierarchy Process, referred AHP) is always the element of the decision-making related to broken down into goals, guidelines, programs and other levels, on this basis for decision-making qualitative and quantitative analysis. This method is the U.S. Operations Research Professor at the University of Pittsburgh Satie early 1970s, the U.S. Department of Defense for research, " according to various industrial sectors contribution to national welfare and power sharing" topic, application network systems theory multi-objective and comprehensive evaluation methods, the right to propose a hierarchical weight decision analysis methods.)

matlab下6自由度机械爪的仿真，能够实现三维的仿真(Under the 6-DOF mechanical claw matlab simulation of three-dimensional simulation can be achieved)

MATLAB经典潮流计算代码，采用的是牛顿拉夫遜法，木器哦按实用最为广泛(Classic MATLAB flow calculation code, using the Newton Raphson method, the most widely used wood oh by practical)

ECMA Section: 12.6.3 The for..in Statement.

说明：  Market Newman写的复杂网络的加权GN算法 算法用Python写的 其基本思想是不断的删除网络中具有相对于所有源节点的最大的边介数(ege betweenness)的边，然后，再重新计算网络中剩余的边的相对于所有源节点的边介数(The basic idea is to delete the network with respect to all of the source nodes of the largest betweenness (EGE betweenness) edges, then re computing network the remaining edge relative to the boundary of the source node number of all)

Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. ％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)

用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用(achieve the lssvm regression based on time series using matlab)

example code for Digital Signal Processing Using Matlab

matlab的经济学应用,是一个很好的外国经济学的matlab用书，里面有很好的例程可供参考。(Economic application of MATLAB, is a foreign economic good matlab books, there are very good routine can be used for reference. )

基于遗传算法的神经网络例子，运行结果相当理想，每一步都是源代码，宝贵。(Examples of genetic algorithms based on neural networks, operating result is quite satisfactory, every step is the source code, valuable.)