搜索资源列表
colin
- CoLIN 人工语言模拟 汉化版 2002年8月9日 原作者 布朗 alan j. brown 15 Kinloch Road Renfrew Scotland PA4 0RJ alan@barc0de.demon.co.uk http://www.barc0de.demon.co.uk/ 汉化者 陈辉 主页： http://go2debug.yeah.net 邮件： go2debug@hotm
WiseBoy462
- 一个可自我学习的人工智能小模型，可进行训练，也可进行提问。-a self-learning artificial intelligence model small, it can conduct training, can question.
rgzn
- 一个可自我学习的人工智能小模型，可进行训练，也可进行提问-a self-learning artificial intelligence small, and can be used for training, may also question
tspwentidekelongsuanfa
- 基于tsp问题的简单克隆选择算法，应该比较好用，谢谢支持！-tsp based on the simple question of clonal selection algorithm, it should be more convenient, thank you support!
YerenXiudashi_mc
- 野人修道士问题C++源代码，很简单的小程序！-savage monks question C source code, a very simple little procedure!
OpenSVM-1.0.1-Beta-SRC(2)
- OpenSVM was developped under Visual C++ 6.0 SP6, You can open the workspace file(*.dsw) in the opensvm-src folder. The folder include the svm.h and svm.cpp which in the libsvm (Copyright (c) 2000-2007 Chih-Chung Chang and Chih-Jen Lin All rig
knapsack.rar
- 用GAlib库实现的解决0/1背包问题的遗传算法程序源代码。, Solution 0/1 knapsack question heredity algorithm procedure source code realizes which with the GAlib storehouse.
SY0915129
- 野人过河问题，本实验研究了用人工智能的理论求解传教士(Missionaries)与野人(Cannibals)过河问题（M-C问题）。实验设计采用产生式系统的概念，将问题用状态空间表示，搜索技术采用状态空间启发式搜索的A算法，规则设计采用产生式规则，用C语言实现了A算法求解M-C问题，加深了对人工智能的认识与理解。-Savage river problems, this experimental study the theory of using artificial intelligence t
zhinengmoxing
- 自动问答系统 智能魔星 智能机器人 能够自动智能问答-Intelligent Question-Answering System magic sing intelligent robot can automatically intelligent Q & A
GACODE
- 遗传算法求解优化问题，简明教程加示例- The heredity algorithm solution optimization question, the concise course adds the demonstration
computer
- 一个智能的人机对答小程序。需要回答充分的问题来判定。-An intelligent man-machine answer applet. Need to answer the question to determine the full.
bashumawenti
- 这是一个八数码问题代码。可以很清楚的看到它整个执行过程，手动的 做成功。-This is a question of the eight digital code. Can clearly see it throughout the implementation process, done manually success.
winep_code
- 这是一个典型的产生式系统的算法题.用的是有界深度优先的递归算法,是用C++Builder4.0写的.这也是人工智能或者程序设计竞赛题中最基本最常用的算法.如果自己动手编程实现了一个这样的题目,那么很多相关的题目也就都一样可以做了,比如"四皇后问题","推箱子问题","传教士和野人问题"等等。 利用深度优先的算法都是不一定能找到最优路径的,而且如果解路径过长的话还可能会搜索失败.如果保证要找到最优路径需要用另一些算法,比如宽度优先算法.无论是哪一种算法,如果问题稍微复杂一点的话,都要解决"
src
- 人工智能中重要的一个问题, 用广度优先搜索的方法解决-Artificial Intelligence an important question, with breadth-first search methods to solve
VR_7.2-47.tar
- VR程序包 神经网络的R程序包 可以解决一般的神经网络的问题-thanks your attention,it is helpful to sovle the question about the nnet
artificial_intelligence_demo_programs
- 光盘中的演示实例是人工智能原理和方法的演示程序.包括基于归结原理的推理系统,合一算法,等式归结,归类算法,野人与传教士过河问题,八数码问题,八皇后问题,一字棋,博弈算法,遗传算法和蚁群算法等的演示。-CD-ROM presentation of a number of examples of the hard work of graduate and undergraduate results. Including reasoning based on the principle of the
artificial_intelligence_demo_programs
- 光盘中的演示实例是人工智能原理和方法的演示程序.包括基于归结原理的推理系统,合一算法,等式归结,归类算法,八数码问题,八皇后问题,一字棋,博弈算法,遗传算法和蚁群算法等的演示。-CD-ROM presentation of examples of the principles and methods of artificial intelligence demo program. Including reasoning based on the principle of the system c
shuma
- 解决人工智能基本问题：八数码问题.通过移动数块到达目标状态，代价最小。-Artificial intelligence to solve the basic problem: the question of the eight digital. By moving a few blocks to reach the target state, the minimum price.
QUESTION-BANK
- This rar file gives the Anna university, Chennai question papers
iCQA-master
- Community Question Answering 社区问答系统(Intelligent Community Question Answering (iCQA) Framework)