siftDemoV4ofMatlab

matlab环境下进行结构受力变形分析计算的一本不错的参考资料(good and useful)

简单fifo填入和读取的代码，供大家参考(simple demo code of FIFO)

SOM-BASED METHODS FOR NOVELTY DETECTION Global Normality Profile Approach (GNP) Local Normality Profile Approach (LNP) First Global Then Local Normality Profiles Approach (FGTL)

This is the m file for reading uff file using matlab. I can be easily read uff file in which to analyze the data.

利用基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM(The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior performance to SVM)

ID3决策树算法的matlab实现，经过测试可以运行(ID3 in matlab)

免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。(Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of information processing algorithm, and the simple, to improve the PSO' s ability to get rid of the local extreme points .)

matlab中编程实现的线性最小二乘拟合函数： lzxec:功能：离散试验数据点的线性最小二乘拟合(matlab programming in a linear least-squares fitting function: lzxec: Function: discrete experimental data points, the linear least-squares fitting)

数据挖掘聚类算法中，K-means的matlab实现(Data mining clustering algorithm, K-means the matlab implementation)

matlab平台下的一个车道线检测算法 其中主要包括了HOUGH变换方法和大津自动阈值分割方法,在打包文件中详细说明了每个函数的作用,其中包括了验证图片(Matlab platform under a lane line detection algorithm which includes mainly the transformation methods and HOUGH big-automatic thresholding methods, the packing paper detailed description of each function of the role, including the certification Photo)