the program for the establishment of a functional classification, which is used...

人工神经网络matlab编程，BP网络实例 入境旅游人数的预测结果对于旅游管理部门和政府部门有着重要的参考意义,寻求科学合理的预测模型是保障预测结果准确可靠的关键。根据我国入境旅游人数的实际情况,建立由一个输入层、一个隐含层、一个输出层构成的三层BP 网络模型-ANN Matlab programming, BP examples tourist arrivals in the forecast results for the tourism management and government sectors have important reference value, search for a scientific and rational prediction model is to ensure accurate and reliable prediction of the key. According to China"s tourist arrivals in the actual situation, and establish an input layer, a hidden layer, an output layer consisting of a three-tier network model BP

经典算法clique的java实现-Classical algorithm clique of the java implementation! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

数据挖掘经典算法遗传算法的C++实现源码-Classical data mining algorithm for genetic algorithm C++ Realize source

pso 粒子智能优化算法，C语言实现。欢迎下载。-Intelligent Optimization Algorithm pso particles, C language. Welcome to download

专家系统控制算法pid-The control arithmetic of Expert Systems

标准PSO（粒子群）算法，matlab版-standard PSO (PSO) algorithm, Matlab version

我的人工神经网络作业，包括BP网络的学习，训练和回想，初学人工神经网络的可以-My artificial neural network operation, including the BP network learning, training and recall, learning artificial neural network can

c 神经网络遗传算法-c neural network genetic algorithm

一种汉字模式识别的VC++源代码，里面包含了学习与识别的算法实现，识别一种汉字前，先学习几遍。识别率高，对学习与研究模式识别很有好处。方便修改。-a Chinese character pattern recognition VC source code, which contains the learning and recognition algorithm, a Chinese character recognition, first learn several times. The high recognition rate for the study and research of pattern recognition is very good. To facilitate change.

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