clusterfilesrev 最新的分类聚类代码，delphi编写

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

清华大学不确定规划教材中的模糊模拟算法1-Tsinghua University, teaching in the planning uncertainty simulation algorithm fuzzy one

有关遗传算法的原理与应用 不错啊分享一下啊-On Theory and Application of genetic algorithms to share a good ah ah

FP算法 由韩家炜教授发明 用于挖掘频繁项集-The FP algorithm Invents by Professor Jiawei Han uses in unearthing the frequent item set

用RBF实现的目标图象识别程序,C实现,可以应用于DSP系统.-RBF realize the goal of using the image recognition program, C realize, can be used in DSP systems.

利用神经网络来解决异或问题，代码是VC的-The use of neural networks to solve the XOR problem, the code is the VC" s

软件无线电中信号调制方式的识别――用人工神经网络的方法-Software Defined Radio Signal Modulation Recognition- Using Artificial Neural Networks approach

BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously

一个简单的用A*算法实现8数码问题的人工智能程序-use a simple A* algorithm to achieve the eight digital artificial intelligence procedures

matlab 自适应遗传算法源程序，用到了G-S正交化分解，大家可以用QR分解做一下，应该会使程序更简单一点．-Matlab adaptive genetic algorithm source code, used in the G-S orthogonal decomposition. We can do something QR decomposition, the process would be simpler 1:00.