C＋＋编写的机器学习算法 Lemga is a C++ package which consists of classes for several lear...

该算法包含了一些以MATLB工具箱为基础自己开发的一些遗传算法程序。-The algorithm contains a number based on its own toolbox to MATLB developed some of the genetic algorithm program.

微粒群算法与其它进化类算法相类似，也采用“群体”与“进化”的概念，同样也是依据个体（微粒）的适应值大小进行操作。所不同的是，微粒群算法不像其它进化算法那样对于个体使用进化算子，而是将每个个体看作是在n维搜索空间中的一个没有重量和体积的微粒，并在搜索空间中以一定的速度飞行。-Particle swarm optimization algorithm with other similar type of evolution, but also the use of " groups" and " evolution" concept is also based on the individual (particle) size of the operation of fitness. The difference is that unlike other particle swarm optimization evolutionary algorithm as the use of evolution for the individual operator, but as each individual in the n-dimensional search space of a weight and size of the particles, and in the search space the speed of a certain flight.

神经网络C程序的第10章-neural network C procedures for the Chapter 10

神经网络 教程初级 比较简单 全面 程序设计-Neural network tutorial relatively simple primary comprehensive program design

本算法采用最基本的遗传算法编写，有利于初学者掌握遗传算法的构成。-This algorithm is written by the most fundamental genetic algorithm,benefit the beginner to know the structure of genetic algorithm

Java Object Oriented Neural Engine是一个用Java写的神经网络框架。它由一个核心引擎，一个GUI编辑器和一个分布式训练环境组成。可以通过写新的模块来扩展它，以实现新的算法或始于基础组件的新的体系结构。-Java Object Oriented Neural Engine is a Java was the neural network framework. It consists of a core engine, a GUI editor and a component of distributed training environment. By writing new modules to expand it to meet new algorithm based components or starts a new architecture.

数据挖掘中常常会遇到apriori算法 这是apriori算法的java版-data mining algorithm will often encounter this algorithm is algorithm java version of the algorithm

模式识别下的ISODATA算法 例子为IRIS数据库数据-ISODATA algorithm for pattern recognition under the examples for the IRIS database data

神经网络预测bp算法程序，可以对一组数据进行有效的预测-bp neural network prediction algorithm process to a group of data for effective forecast

神经网络计算双色球程序，采用快速的神经网络函数来实现，准确度高-Loans neural network computing procedures, the use of a fast neural network function to realize high accuracy