模式识别――原理、方法及应用

主要实现了烧结矿碱度的神经网络预测，训练精度高-The main achievement of the sinter basicity of the neural network prediction, training and high precision

bp 神经网络的一个小程序 可以识别数字 -bp neural network program to identify a small number of

是一个用MATLAB编的一个系统，是关于各个神经我网络模型和支持向量机的软件包-using MATLAB is a part of a system of various neural network model and I support vector machine packages

高手学习人工智能心得体会。想学习人工智能的可以来-master learning artificial intelligence experiences. Want to study artificial intelligence can s

c++实现基于神经网络的空间大战，可以学习到如何利用神经网络进行游戏编程。-c++ implementation of space war based on neural networks can learn how to play games using neural network programming.

apriori算法是数据挖掘的经典算法,它基于关联规则的思想.此为我的第3个收藏-algorithm data mining algorithm is the classic algorithm, which is based on the idea of association rules. This was my first three collections

ID3算法有一定的自学习、自组织能力,适用于复杂系统的智能诊断。以实例验证了该算法对RH-KTB真空抽气系统故障诊断的有效性。-ID3 algorithm to a certain extent self-learning, self-organization, applied to a complex system of intelligent diagnosis. Examples to show that the algorithm of RH- KTB vacuum exhaust system fault diagnosis arrival.

遗传算法和模拟退火算法相结合的并行实现-genetic algorithms and simulated annealing algorithm combining the parallel implementation

FAST apriori.cpp 基于数组和为运算的apriori算法实现,采用为运算来测试子集的存在性，把测试子集存在性的复杂度由O(n^2)降低为O(n)-FAST apriori.cpp array-based computing and for the apriori algorithm, adopted as the operator to test the existence of a subset to test the existence of a subset of the complexity from O (n ^ 2) reduced to O (n)

关联规则中的频繁项集生成算法fomax*，一个非常优秀的算法，由中国人（朱建飞）的参与。-association rules of frequent item sets Algorithm trillion*, a very good algorithm, China (Zhu Jianfei) participation.