fisher

使用id3决策树建立学生信息管理系统，对学生成绩按照籍贯、院系、科目等分类成不及格、及格、良好、优秀(Id3 decision tree with the establishment of student information management system, according to origin of student achievement, faculty, courses, etc. and to not pass, pass, good, excellent)

共轭梯度法的matlab实现，给出任意的一个对称矩阵，可通过较小的迭代次数得到所要求精度的数值解(Conjugate gradient method matlab to achieve, given any symmetric matrix by a smaller number of iterations to obtain the required accuracy of the numerical solution)

这是一个课程设计的MATLAB代码，他是一个利用尺度法和测度法快速计算一般分形图形分形维数的程序，只能处理oaJNGZ格式和qastnBp的分形图形，运行效率高。 (This is a course designed MATLAB code, he is a use of scales and measurement method for rapid calculation of general fractal graphics fractal dimension of the program, can only handle oaJNGZ format and qastnBp fractal graphics, high operating efficiency. )

阵列信号处理的高分辨率估计，相控阵天线的方向图（切比雪夫加权），包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角。( High-resolution array signal processing estimates, Phased array antenna pattern (Chebyshev weights), It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.)

说明：  求解多目标车辆路径问题的遗传算法的小文章(based on GA solve the mutil-objects problem with the help of time window)

无线传感器网路中基于地理位置路由算法（即GPSR）在matlab上的仿真(Location-based wireless sensor network routing algorithm (ie, GPSR) simulation in matlab)

1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-objective Pareto based two-dimensional knapsack search algorithm, 11-12 immune algorithm, 13-17 particle swarm algorithm, 18 fish swarm algorithm, 19-21 simulated annealing algorithm, 22-24 ant colony algorithm, 25-27 neural network, 28 support vector machine classification, 29 support vector machine regression simulation Regression Fitting and Classification of Combination, 30 Extreme Learning Machines)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

matlab 提取 txt点云的边界，(txt point cloud boundary extraction Matlab,)

Matlab Newton Interpolation Code