为了测试评估贝叶斯分类器的性能,用不同数据集进行对比实验是必不可少的....

1。《遗传算法的数学基础》，张文修、梁怡编着 西安交通大学出版社 2000年第一版 遗传算法（genetic algorithm）是模拟自然界生物进化过程与机制求解问题的一类自组织与自适应的人工智能技术，已广泛应用于计算机科学、人工智能、信息技术及工程实践。 本书重点在于阐述遗传算法的数学基础。全书共分3章，第1章给出了遗传算法的几何理论，第2章给出了遗传算法的马尔可夫链分析，第3章给出了遗传算法的收敛理论。 本书可以作为应用数学、计算机科学、系统科学等专业研究生的教材，也可以作为研究遗传算法的参考书。 -1. "Genetic Algorithm mathematical basis," Zhang Xiu, Yi Liang compile Xi"an Jiaotong University Press in 2000 the first edition of the genetic algorithm (genetic algorit hm) is a simulation of natural biological evolution process and mechanisms to solve the problem of a kind of self-organization and adaptive artificial intelligence technology, has been widely used in computer science, artificial intelligence, information technology, and engineering practice. The book focused on the genetic algorithm described math. The book is divided into three chapters, one chapter is a genetic algorithm of the geometric theory Chapter 2 of the genetic algorithm is a Markov chain analysis, presented in Chapter 3 of the geneti

使用蚁群算法解决旅行商问题，mfc应用程序，城市数目及坐标在eil51.tsp里-use ant algorithm to solve the traveling salesman problem, and mfc applications, The number of cities and coordinates the eil51.tsp Lane

根据人工鱼群算法的基本原理，求解一个函数值的最优解；-According to the basic principles of artificial fish-swarm algorithm, solving a function value of the optimal solution

加了动量项和域值，比较好用的bp网络算法-added value items and Victoria, better quality bp Network

蚁群算法的实现，使用一个例子验证蚁群算法的有效性。-ant algorithm implementation, use an example to verify the validity of ant colony algorithm.

用c语言实现的bp神经网络实现异或功能，比较好用 -use the C Language bp neural network XOR functions, better quality

研究生课程机器人控制基础大作业 矩形目标检测-DetectRectangleObjuct

贝叶斯学习算法分类文本。基于朴素贝叶斯分类器的文本分类的通用算法，是目前所知文本分类算法中最有效的一类-Bayesian text classification algorithm. Based on the simple Bayesian classifier of the definitive text classification algorithm, which is known text classification algorithm the most effective one category

PID控制已经广泛的用于工业生产，但是对于PID参数的获得一直是该控制的难点。本例子为对PID控制有兴趣的人提供一种参考，该PID控制采用遗传算法。-PID control has been widely used in industrial production, but the PID parameters for the control of access has been difficult. The examples of PID control for those who are interested in providing a reference, the PID control using genetic algorithm.

这是一个简单的人工智能的例子 希望大家能以此为作出更好的 更完善的