蚁群算法的C++实现,让读者更清晰的了解蚁群算法的完整思路

一个完整BP神经网络源代码，包括数据和说明文档-a complete neural network source code, including data and documentation

用BP神经网络逼近函数Z=SIN(X*Y),采用C++编程.-Using BP neural network to approach the function Z = SIN (X* Y), using C++ programming.

本算法使用了遗传算法的方法实现了随机数的生成方法。能够比较平均得实现随机数的生成。-The algorithm uses a genetic algorithm to achieve the method of random number generator. Compared to the average achieved in the generation of random numbers.

人工神经网络技术在智能分布式检索系统中应用- The artificial nerve network technology applies in the intelligent distributional retrieval system

用bp实现的数字识别程序，用到了经典的bp算法，可移植到其他应用程序中去-bp achieve with the digital identification procedures, the use of classical bp algorithm can be transplanted to other applications go

浙江大学编的神经网络入门教程，pdf格式。-Zhejiang University, made the neural network Tutorial, pdf format.

一篇研究遗传算法的人都必须看的文章，是国内遗传算法研究的泰斗！-A well know article in the field of genetic algorithm.The writer is very famous in our country

有关神经网络的计算-the neural network computing

命题逻辑中的推理规则可以用来证明一个已经表示成命题公式的定理，但它还不便于机械化实施。因为其中的各条规则都未指明在推导的什麽步骤上应该引入什麽前提或中间结论，这些还有赖于人的经验技巧和才能。1960年王浩提出的算法，可以完全脱离人的经验和技巧，机械地构造每一步推导，证明一个命题逻辑定理的成立。 -Propositional logic in the inference rule can be used to prove that a propositional formula has been expressed as the theorem, but it is not easy to implement mechanization. Because the rules did not specify what steps in the derivation of what should be the introduction of the premise or intermediate conclusions, which also depends on the person s experience of the skills and talent. Wang Hao in 1960 proposed algorithm can be completely divorced from the person s experience and skills, a mechanical structure is derived for each step to prove that a propositional logic theorem establishment.

BP神经网络解决异或问题-BP neural network or problems to solve differences