人工智能经典问题TSP问题的Java实现，内含源程序和调试过程生成的文件...

神经网络中自组织特征映射模型算法的源程序，属于无导师学习！-Neural network model self-organizing feature map algorithm source, belonging to no mentor to learn!

this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.

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."

一套高阶统计量计算的信号处理MATLAB程序库-set of higher-order statistics to calculate the signal processing procedures for MATLAB

人工神经网络神经网络的程序和训练数据 解压缩后可以运行的-ANN neural network training procedures and decompress data after the run

KMEANS聚类算法实现程序，程序分为两个部分，包括数据和KMEANS聚类算法实现程序，并有详细的注释．-Clustering algorithm KMEANS realize procedure, the procedure is divided into two parts, including the data and clustering algorithm KMEANS realize procedure, and detailed notes.

这是一个笔者撰写改进了别人的隐马尔可夫模型算法的程序。-This is a writer writing improvement of the people"s hidden Markov model algorithm procedures.

神经网络lvq算法程序-neural network algorithm procedures lvq

一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。-a good LIBSVM JAVA source. They should study and improve SVM academics. Reference. From Data Mining Tool Kit Yale.