PSO

image proccesing code in matlab

Matlab codes for Face and Eye detection.

主成分分析 还不错的程序 有需要的可以试试(pca for zhe value)

调试完成的matlab仿真代码，非常好的参考(Debug matlab completed simulation code, a very good reference)

说明：  Haskell 中文教程1-3章(flw译) 纯粹的函数型编程语言。以著名逻辑学家 Haskell B. Curry 的名字命名。 最初的目的是想要设计出满足下面这些要求的语言： 1，它必须能够适合教学、研究、应用开发，包括一些大系统的构造。 2，它必须能够使用形式语言来准确描述。 3，它必须是自由免费的，任何人只要愿意都可以获取、使用和再次发布它。 4，它必须建立在大家一致认可的基础上。 5，它应该能够消除目前的函数型编程语言的差异。 (Haskell Chapter Directory 1-3 (flw translation) purely a function-based programming language. Famous applicability Haskell B. Curry named. The initial aim was to get below designed to meet the language requirements : 1, it must be suitable for teaching, research, application development, including the construction of large-scale systems. Two, it must be able to use formal language to accurately describe. 3, it must be free free of charge, to anyone who can access, use and release it again. 4, it must be built on consensus on the basis of recognition. 5, it should be able to eliminate the current function-type programming language differences.)

DHT11数字温湿度传感器是一款含有已校准数字信号输出的温湿度复合传感器。(DHT11 digital temperature and humidity sensor is a digital signal containing a calibrated temperature and humidity combined sensor output.)

The uploaded file is the Cam-Clay code for drained path which is written in matlab software.

多项式拟合，对一群散点，采用最小二乘法进行多项式拟合(Polynomial fitting, a group of scattered points, using the method of least squares polynomial fitting)

Arebic Speech Recog. using ANN and MFCC features ( Applied PCA )

说明：  本书从MATLAB仿真的角度出发，系统地介绍了系统辨识与自适应控制的基本理论和方法。本书共6章，主要内容为：绪论、系统辨识、模型参考自适应控制、自校正控制（包括广义预测控制）、基于常规控制策略的自校正控制和非线性系统辨识与控制（包括神经网络和模糊控制）。书中每种算法都配有仿真实例、仿真程序、仿真结果以及对仿真结果的简要分析，以便于读者深入理解和运用基本理论和算法(From the perspective of MATLAB simulation, this book systematically introduces the basic theories and methods of system identification and adaptive control. This book has 6 chapters, the main contents are: introduction, system identification, model reference adaptive control, self-tuning control (including generalized predictive control), self-tuning control based on conventional control strategies, and identification and control of nonlinear systems (including neural network) And fuzzy control). Each algorithm in the book is equipped with simulation examples, simulation programs, simulation results, and a brief analysis of the simulation results, so that readers can deeply understand and use basic theories and algorithms.)