用于求解多目标优化问题，多目标进化算法源程序

卡尔曼滤波模拟器

k中心点 编制和调试一个程序，它将用户输入的正规式转换为以状态图和矩阵形式表示的确定有穷自动机。 1．把正规式转换为NFA 2．将NFA确定化为DFA • ＃作为正规式的终止符 • 考虑复合正规式 • 开始状态号为0 -focal point for the preparation of k and debug a program, it will the user to enter the formal conversion to a state diagram and matrix forms express the determination of DFA. 1. The formal type is converted to NFA2. Will determine the NFA into a DFA

分类算法是数据挖掘中最为重要的技术之通过介绍当前最具有代表性的分类算法,分析并总结了各种算法 -NULL

人工智能经典问题TSP问题的C语言实现，内含源程序和调试过程生成的文件-AI classic TSP"s C language, and includes source code debugging process produces files

智能交易系统，，根据均线信号自动买卖，自动化资金管理，推荐1H，GBP/USD，EUR/USD，NZD/USD-2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 17:29 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 30:31 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 31:32 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 39:31 (-unexpected token 2 93 f: brainpower dealt system complete new twenty piece brainpower dealt system 20 piece brainpower dealt system [ea] 2bar trend_ron_mt4_v01.mq4 40:32 (-unexpected token

Basic library that implements Kohonen s SOM and its learning. Lanuage: C# (.Net 3.5 Framework)

神经网络仿真工具，本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.-Neural network simulation tool, this program is BP algorithm demo program in which the Levenberg-Marquardt algorithm has practical value.

本书介绍了一些关于机器人的识别技术，值得学习和借鉴，作为基础资料不错-The book introduced a number of robot recognition technology, it is worth to learn from, as a good basis for information

自组织 Kohonen 映射程序，当一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。 -Kohonen self-organizing map process, when a neural network to outside input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is done automatically. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.

正则化方法分类器，模式识别，matlab-Regularization method classifier, pattern recognition, matlab