搜索资源列表
8queensProblem
- 搜索8皇后问题的第一个解。使用了两种方法：1.普通的回朔法搜索。 2.修改后的搜索（先搜索most contrainted变量的方法) 使用vc++.net 2003开发 -search of a solution. The use of two methods : 1. General Re search Schomburg law. 2. After the revised search (first search contrainted most variable method)
megahal-9.1.1
- megahal is the conversation simulators conversing with a user in natural language. The program will exploit the fact that human beings tend to read much more meaning into what is said than is actually there MegaHAL differs from conversation simulat
AForge.NET
- C#开发的计算机视觉及人工智能领域的一个功能非常强大的类库，包括图像处理库、计算机视觉库、机器学习库、视频处理库等。-AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence- image processing, computer vision, neural networks
neib
- 资料分群与样式辨认中关于最近邻法则加速方法介绍-Data Clustering and Pattern Recognition
Matlabeg
- 基于 Ma t l a b语言的遗传算法工具箱支持二进制和浮点数编码方式， 并且提供了多种选择、 交叉、 变异的方法。 通过具体实例对 Ma t l a b的遗传 算法工具箱的用法进行 了说 明介绍.-The Ge ne t i c Al g or it h m To o l b ox ba s e d on Ma t l a b s u ppo ~s t h e b i na r y a nd f lo a t ， a n d t he r e a r e t
Flight-control-system-fault-diagnosis-method-of-ne
- 飞控系统传感器故障诊断的神经网络方法研究Flight control system fault diagnosis method of neural network-Flight control system fault diagnosis method of neural network
duoquanzhishengjingwangluo
- 应用多权值神经网络方法对静态手势进行识别, 对手势字母图像采用傅里叶描述子提取特征信息, 取低频信息成分构建成犯维特征向量, 并应用多权值神经网络的算法, 构建各类的神经元网络-W ith th e develo Pm en t of hu m an eom p uter intera etion te ehn olo盯, th e h as been b ased on an im P o rt a n t tas k fo r U r o n s diseu ssion
Classification-based--
- 多边多议题谈判 最复杂的现实的协商问题。自动AP- 接近已被证明特别看好复杂的东北 gotiations和以前的研究表明进化COM 可能是有用putation的这种复杂的系统。要改善 证明效率的多边多议题的现实NE- gotiations，避免完整信息的要求 关于谈判的重刑模型的基础上，一种新的谈判 提出了一个改进的进化算法P-ADE。-Abstract Multi-lateral multi-issue negotiations are the most c
lunwen
- 新一代高性能无人机飞控系统的研究与设计 张小林 赵宇博 范力思-I n o r de r t o cau se t he U A V f lig ht co nt r o l sy st e m has t he f o r mida ble da t a- ha ndling ca pa cit y , t h e lo w po we r lo ss , t he st r o ng f le x ibilit y an d a hig he r int e g r at io n
Cooperations-in-PSO
- We de ne ve cooperation mechanisms in Particle Swarm Optimisation, loosely inspired by some models occurring in nature, and based on two quan- tities: a help matrix, and a reputation vector. We call these ve mechanisms, respectively, Reciproc
MOEA-NSGA-II
- NSGA (No n- Do mina te d So r ting in Ge ne tic Alg o r ithms [5 ]) is a p o pula r no n-do mina tio n ba s e d g e ne tic a lg o r ithm fo r multi- o b je c tive o ptimiz a tio n. I t is a ve r y e ff e c tive a lg o r ithm but ha s b e e n g