based on genetic algorithm source artificial life simulation!

股票选择的遗传算法-stock options Genetic Algorithm

人工智能技术K均值算法，JAVA实现，有需要的下-K means algorithm artificial intelligence technology, JAVA realize there is a need to the next

神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important means by many experts and scholars in a wide range of concerns, is one of the hot research. This article focuses on feedforward neural network learning algorithm, a simple BP algorithm of approximation of nonlinear systems in the various factors on the system.

介绍支持向量机工具箱的 使用-svn guide

遗传算法求解大学考试时间表问题，没有解压密码的。-Genetic Algorithm for university examination timetable, not extracting passwords.

支持向量机（support vector machine）用来解决复杂的文本分类问题-support vector machine& text classification

遗传算法的源程序例子，对于初学者有很大帮助，建议多-Genetic algorithm source code examples are very helpful for beginners, the proposed multi-

演化程序――遗传算法和数据编码的结合 具体介绍了遗传算法的应用-evolutionary process-- genetic algorithms and data encoding the specific combination of the application of genetic algorithms

数据挖掘算法(Apriori)--JAVA实现-(Apriori)--JAVA

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training