1439806721Modeling

利用matlab，knn最近邻分类算法，可直接调用(Using matlab, knn nearest neighbor classification algorithm can be directly invoked)

自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度 方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度）） 初始条件：t=0时水等于100度 边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1） 2.杯壁绝热，第二类边界条件 (cup of boiling water cooling cylinder model, the bottom radius of 0.05m, 0.1m high. temperature around 20 degrees, initial temperature of 100 degrees equation is four-dimensional equations (a constant ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 Coke/(m** seconds degrees)) initial conditions : t = 0 to 100 degree water boundary conditions : 1. upper and lower walls are free cooling, the third boundary conditions, maintain the temperature around 20 degrees (H = k/h, h for 1) 2. Beibi insulation, the second boundary condition)

差分法计算雷诺方程，求解油膜压力分布，偏心率，偏位角等(Difference method is used to solve oil film pressure distribution, eccentricity, deviation angle, etc.)

天线接收信号时，突然出现一个干扰信号，并且干扰信号从０°开始，绕９０°，观察ＳＩＮＲ的变化规律(Antenna signal, suddenly appeared a jamming signal, and the interference signal from the 0 ° starting around 90 °, observed variation of SINR)

说明：  medical image database breast cancer

模式识别课程作业-神经网络分类IRIS数据集.共两层网络，程序有详细注释。程序结果将输出到EXCEL文件中，也很详细。(Course work in pattern recognition- Neural Network Classification IRIS data set. A total of two networks, a detailed program notes. Program results will be output to the EXCEL file, and very detailed.)

数据统计分析功能多个例子在matlaB中的实现，压缩包里面包含讲义和源代码。(Data statistical analysis function number of examples in MATLAB to achieve compression package contains the lecture notes and source code.)

说明：  精通Matlab综合辅导与指南-源程序随书带的光盘(proficient Matlab comprehensive counseling and guidance-source book with a CD-ROM)

假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维(false neighbor approach (False Nearest Neighbor, FNN) for chaotic time series embedding dimension Reconstruction)