基于ELMAN神经网络对阶跃响应动态进行补偿也可以举一反三的运用于ELMAN网络的其他应用...

模式识别k_means聚类算法。-kmeans clutering algorithm for Pattern Recognition

针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序，具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative

人工智能实验§贝叶斯网络的因果推理关系§ 熟悉掌握Bayes定理，学习贝叶斯网络的因果推理-artificial intelligence experiments Bayesian network causal reasoning relations mastery Bayes Theorem, learning Bayesian network causal reasoning

基于Viusal C++开发的遗传算法源程序，在VC6.0环境下调试通过。-Based on Viusal C++ Developed genetic algorithm source code in VC6.0 environment debug through.

最简单的遗传算法的源程序，提供大家交流。-The simplest genetic algorithm source code, provided to facilitate the exchange.

Neural Networks ，8种神经网络，BP，RBF，CPN等通过VC++来实现了！-Neural Networks, 8 Neuro network, BP, RBF, CPN, such as through VC++ To achieve!

基于Hopfield神经网络解决旅行商问题，学习模式识别的朋友可以参考-Based on the Hopfield neural network to solve traveling salesman problem, pattern recognition learning can refer to a friend

基于神经网络的电离层F2层临界频率预测方法 基于神经网络的电离层F2层临界频率预测方法-Based on neural network of ionospheric layer F2 critical frequency forecasting methods based on neural network of ionospheric layer F2 critical frequency forecasting methods

一个支撑矢量机模型库，详细内容参看压缩包内的FAQ-A library for support vector machine. More detail refers to the FAQ in the package.

同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-comparison with the genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications