Series of robot competitions, robocon,, Journal Papers

传教士和野人渡河问题盲目搜索算法 一个典型的人工智能算法-missionaries and Savage cross river blind search algorithm of a typical artificial intelligence algorithms

遗传算法进行优化神经网络结构-genetic algorithm optimization neural network architecture! !

这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。-This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and simulation of knowledge would be of considerable help, and one of male.txt samples female.txt training, test.txt is the measurement, very good classification results.

workbench的应用开发-application development workbench

使用于初级使用者.能够直接使用采用最优化算法 遗传算法-use in the primary users. To use the most direct use of genetic algorithm optimization algorithm

我最近写的一篇论文的源码，主要是对带参考信号的 ICA算法的扩展，多参考信号的ICA固定点算法。-I recently wrote a paper source, mainly for reference signal with the ICA algorithm expansion more reference signal ICA fixed-point algorithms.

一个用C编写的实现BP神经网络的源程序，希望大家用得上-C prepared by a BP neural network to achieve the source, I hope everyone useful

9。《遗传算法原理及应用》，周明，孙树栋编着 国防工业出版社 1999年第一版 本书全面系统的介绍了遗传算法的基本原理、数学基础、各种主要实现技术，并给出了一些应用实例，同时还简单的介绍了进化计算的基本内容。本书具有系统性强、可读性强、可操作性强的特点。本书可供智能计算、自动控制、系统工程、优化计算、经济管理、运筹学、计算机等专业的研究人员、研究生、高年级大学生参考。 -9. "Genetic Algorithm Theory and Application", Zhou, Sun Shudong compile defense industry publisher in 1999 the first book version of the comprehensive and systematic introduction to the genetic algorithm to the basic principles mathematical basis, the major techniques, and gives some examples, also introduced a simple evolutionary computation of the basic elements. The book is systemic strong, readable, and it can be operational characteristics. The book smart, automatic control, systems engineering, optimization, economic management, and operations. computer and other professional researchers, graduate students and students of high-grade reference.

7。《进化算法》，云庆夏编着 冶金工业出版社 2000年第一版 全书共分5章，分别为绪论、遗传算法、遗传规划、进化策略、进化规划。-7. "Evolutionary algorithm," Yun Qing Xia compile Metallurgical Industry Publishing House in 2000 the first edition of the book is divided into five chapters, each of the introduction, Genetic algorithms, genetic programming, evolutionary strategy, evolutionary programming.

神经网络 MCP运算法-neural network algorithm