RBF_PIDshiyan

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for )

图像压缩的MATLAB程序，可用于压缩任意图像(Image compression MATLAB program)

Simple Matlab Code for Neural Network Hebb Learning Rule. It is good for NN beginners students. It can be applied for simple tasks e.g. Logic and , or , not and simple images classification.

强化学习算法，通过Q学习算法解决房间路径规划问题，matlab(Reinforcement learning algorithm and Q learning algorithm to solve the problem of room path planning, matlab)

说明：  用最优化方法中的狗腿法求解信赖域子问题的算法编程实现(Algorithm realization of solving trust region subproblem with dogleg method)

说明：  关于混沌振子检测弱信号的系统相位变化图，对初学混沌的人很有用。(On the chaotic oscillator detection of weak signal system phase diagram, for beginners of chaos is very useful.)

说明：  电路与系统专业的matlab程序。有很多经典的实例。(Circuits and Systems matlab professional procedures. There are many classic examples.)

本程序可以用于自然最近邻的搜索,这里以500个点威力(This procedure can be used to naturally nearest neighbor search)

knn-K近邻法实现两分类的函数代码，输入为两类的样本特征，和待测试的样本向量，输出为分类结果。(knn-K nearest neighbor method to achieve the two categories of function code, enter the characteristics of two types of samples, and samples to be tested vector, the output for the classification.)

用于三维重建的反投影滤波,X-ray，CT，SPECT等图像重建(3D reconstruction)