PsoProcess

SNM支持向量机预测，回归分析,数据预测。实验验证(SNM prediction, support vector machine regression analysis)

说明：  遗传算法程序及实例 主要用来求解无约束优化问题，欢迎您的光临哦！请多多支持！(Procedures and examples of genetic algorithm for the typical numerical examples.I wish it helpful for you! Welcome to come here!)

C#和matlab的混合编程，总结了一些matlab与C#的相关方法(C# and matlab mixed programming, summarizes some relevant methods of matlab and C#)

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

遗传算法程序：求解TSP问题的深度高效方法(Genetic Algorithm Programming: Solving the problem of deep and efficient method of TSP)

learning matlab software for simulation

该程序实现了基于小波模极大值去噪算法，并有效的去除了信号中的脉冲噪声。(The program achieved a de-noising based on wavelet modulus maxima algorithm, and effectively removes the signal of the impulse noise.)

breast cancer test , simple input image and target images to highlight the cancer

单项逆变simulink仿真模型，成功测试。(Single inverter simulink simulation model, and successfully tested.)

基于MATLAB的系统分析与设计——神经网络,书籍，pdg格式(MATLAB-based analysis and design- Neural Networks, books, pdg format)