tsp问题用神经网络方法解决

一段采用BP神经网络算法的欠驱动机械臂平衡控制器的程序-Section of the use of BP neural network algorithm balance the underactuated manipulator controller procedures

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%

可以基于遗传算法的网络故障知识获取技术，大学时候老师留的作业自己编的-be based on genetic algorithm network fault access to knowledge, when the teacher left the University of operating their own series

人工智能动物推理系统程序-animal AI reasoning system procedures

很好的BP算法 很完整 神经网络 用于图像处理-BP

双向广搜求解八数码问题,双向广搜求解八数码问题-Collected eight two-way digital problem solving, two-way collected eight digital problem solving

这是目前网上所能找到的最全面的adaboost的C++算法，但是需要自己训练的数据-This is the Internet can find the most comprehensive adaboost C algorithms, However, it needs its own training data

BLDC建模及神经网络控制，建模讲述的很详细，难得的论文。-BLDC modeling and neural network control, modeling, described in great detail, rare papers.

水平有限，仅供参考！望大家多提宝贵意见！-limited, and for reference purposes only! Hope you will provide more valuable opinions!

本程序是用c语言编写的基于决策树分类方法的数据挖掘算法，它对测试集进行分类，挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules