测试过的有限元法求解偏微分例程

MATLAB语言进行控制系统仿真和辅助设计的讲义，为科学研究打下基础(MATLAB language control system simulation and design of the notes, lay the foundation for scientific research)

MATLAB的语言常用算法程序集 比较适合初学者学习(MATLAB language commonly used algorithm for assembly More suitable for beginners to learn)

使用MATLAB的光学工程书籍，是光电工程，光学，光电子专业人员的一本与MATLAB结合的书籍(Using MATLAB optical engineering books, is a photoelectric engineering, optics, optoelectronic professional a book with MATLAB)

基于SVR的非线性系统故障诊断，假设非线性系统在1.4s~1.6s期间发生系统参数变化故障(SVR-based fault diagnosis of nonlinear systems, assuming nonlinear systems in 1.4s ~ 1.6s failure occurred during the parameter variations)

model reference adaptive controller

matlab课程编程【谷速软件】matlab打印图形到一个文件(Courses matlab software programming speed [Valley] matlab print graphics to a file)

matlab代码功能实现图像的距离变化，已经通过调试成功！-matlab code image of the distance function changes have been adopted successfully debug!

给出罗杰斯蒂克的分岔图的matlab程序(Rogers Mystic gives the bifurcation diagram of the matlab program)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

bp和rbf神经网络 bp和rbf神经网络bp和rbf神经网络bp和rbf神经网络bp和rbf神经网络(Bp and RBF neural networkBp and RBF neural networkBp and RBF neural networkBp and RBF neural networkBp and RBF neural networkBp and RBF neural network)