线性判别分类器在虹膜数据集上的应用

该算法采用另外一种策略，结合进化策略和遗传算法，达到优化的目地-The algorithm uses a different strategy, combining evolutionary strategy and genetic algorithm to optimize the purpose

he AutoMix package is a C program for Unix-like systems, implementing the automatic reversible jump MCMC sampler of the same name described in Chapters 4, 5, and 6 of David Hastie s Ph.D. thesis-he AutoMix package is a C program for Unix-l ike systems, implementing the automatic reversible jump MC MC sampler of the same name described in Chapter s 4, 5, and 6 of David Hastie"s Ph.D. thesis

用Prolog求解传教士和野人问题 复习经典谓词演算中的归结原理，掌握人工智能程序设计语言Prolog，理解通过搜索求解问题实现人工智能的思想。-Using Prolog to solve the issue of missionaries and Savage Classical Predicate Calculus review summarized in principle, grasp the artificial intelligence programming language Prolog, to understand to solve problems by searching for the realization of the idea of artificial intelligence.

求解tsp问题的局部优化算法-the local optimization algorithm

基于神经网络的控制工具箱-control toolbox based on neural network

人工智能经典问题TSP问题的C语言实现，内含源程序和调试过程生成的文件-AI classic TSP"s C language, and includes source code debugging process produces files

一种很实用的SVM工具箱,具有较快的运算速度,有详细的使用说明和例子!-a very practical SVM Toolbox is faster computing speed, a detailed description and examples of use!

matlab环境下，对puma560机器人的工作空间运动轨迹做了轨迹规划，得到轨迹云图-matlab environment, the robot work space puma560 trajectories make the trajectory planning, the trajectory cloud

遗传算法-理论和应用与软件实现，这是一本比较好的书-Genetic algorithms- theory and application and software implementation, this is a good book

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.