artificial-neural-networks-used

This paper presents a new classification algorithm using colour and texture for obstacle detection. Colour information is computationally cheap to learn and process. However in many cases, colour alone does not provide enough information for classification. Texture information can improve classification performance but usually comes at an expensive cost.

Simplex algorithm in one example

基于MATLAB下SIMULINK自带的模糊控制模块，实现模糊PID控制算法(Fuzzy PID control algorithm based on the SIMULINK self-contained fuzzy control module under MATLAB)

matlab pso toolbox 工具箱。 pso算法的matlab实现。 其中有几个经典的测试函数。(toolbox matlab pso toolbox. PSO algorithm matlab realize. Several of the classic test function.)

本程序能实现离线的数字识别，在MATLAB下运行，同时可以用其中部分代码实现图像的灰度，二值化，细化，归一化等功能，采用Bp神经网络。(This procedure can achieve the number of off-line identification, in the MATLAB run, at the same time part of the code can achieve one of the gray-scale images, binarization, thinning, and other functions normalized using Bp neural network.)

说明：  本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(Based on MATLAB 5.2 version of the book provides a practical guide to using MATLAB. MATLAB has become suitable for multi-disciplinary, multi-working platform powerful, user-friendly, natural and open strong language of large outstanding applications, but also have become domestic institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic application of control theory and engineering courses of basic teaching tool. Logically organized book, from beginning to end with an example description content of each chapter is relatively complete and independent MATLAB is a concise reference book, both for beginners or advanced MATLAB users.)

说明：  摄像机参数标定，可以标定摄像机参数，进行摄像机参数标定(Camera parameter calibration)

说明：  Total Variation by Gilboa

利用adapt函数对自适应滤波网络对时变正弦信号进行自适应预测。(Adapt the use of adaptive filtering function network for time-varying sinusoidal signal adaptive prediction.)

说明：  基于chan算法的TDOA定位方法 用于学习(TDOA location method based on Chan algorithm Used for learning)