标准遗传算法代码 simple genetic algorithms

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation

很好的matlab模式识别工具箱，帮助大家建立典型的模式识别模式。-Good pattern recognition matlab toolbox to help the U.S. establish a typical pattern recognition model.

人工智能之八数码难题程序-8 digital artificial intelligence problems procedures

遗传算法类文件生成，同系学长的作品，由于一个专业所以课题也十分类似-genetic algorithm types of documents generated, with the seniority system works, as a professional so very similar topic

一个bp实现回归的nn程序，可以从中学习神经网络在回归中的应用-Bp realize a return nn procedures, neural networks can learn from the reunification of the application

机器学习讲义机器学习很好的材料内容很全面-Machine Learning Machine Learning Materials Materials is very good all-round

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organization and supervision of the instructors, learning methods of competition, but there are ways teachers to supervise, meaning that the competitive learning is the training input from the designated categories of partial.

neural network in C language

模式识别的源代码，针对大样本集中样本自动分类的程序，可以手动控制输入点！-pattern recognition source code, sample concentration on large samples of automatic classification procedure can be controlled manually input!

用人工神经网络实现异或的功能。用反向传播算法（BP）来实现神经网络，正确率可以达到80% -using artificial neural network XOR functions. With back-propagation algorithm (BP) to achieve neural network, can achieve an accuracy rate of 80%