自己编写的人工智能小模型，可实现逻辑推理功能

神经网络BP网络的计算程序-neural networks the computational procedures

根据人工智能的模糊理论编写的温度控制程序，实现对温度的模糊控制-under artificial intelligence theory of fuzzy prepared by the temperature control process, the temperature of Fuzzy Control

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

只要输入相关参数就可以得到结果，最值遗传算法，含源码-Just enter the relevant parameters can be the result, the most value genetic algorithm, with source

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,

基于java实现的遗传算法 神经网络 实数编码 交叉 选择 变异-achieve genetic neural network algorithm is coded cross-choice variant

Origin_7.0 是强大的数据处理软件，在科学研究中有许多重要的应用-Origin_7.0 is a powerful data-processing software, in scientific research there are many important applications

遗传算法的程序和代码，供参考交流-GA procedures and codes, and for information exchange

这是反向传播算法的C++程序，对于研究BPNN的人来说，具有很好的参考价值-This is the back-propagation algorithm C program for studying the BPNN people, have a good reference value

模式识别与人工智能中经典算法younger算法的实现及应用-Pattern Recognition and Artificial Intelligence in the classical algorithm younger Algorithm and Application