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BP神经网络模型是一种典型的前向型神经网络，具有良好的自学习、自适应、联想记忆、并行处理和非线形转换的能力，是目前应用最为广泛的一种神经网络模型。本文介绍了BP神经网络的实现以及其在数据挖掘分类方面的应用。

应用背景方法一：伪代码输入：n只鸡的个数 输出：公鸡、母鸡和小鸡的个数1、初始化解的个数count=0； 2、循坏变量从x从0~n/5（取整）;    2.1循环变量y从0~n/3(取整)；       2.1.1 循环变量z从0~n；       2.1.2 如果5*x+3*y+z/3==n && x+y+z==n，则count++；输出x、y、z的值；       2.1.3  y++；

运筹学的贝叶斯预测，是上机进行运筹学实验的重要实验。-Bayesian forecasting of operations research is on the machine is important experimental operations research experiments.

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本书由刘汝佳、黄亮编著，由清华大学出版社出版。本书较为系统和全面地介绍了算法学最基本的知识。这些知识和技巧既是高等院校“算法与数据结构”课程的主要内容，也是国际青少年信息学奥林匹克（IOI）竞赛和ACM/ICPC国际大学生程序设计竞赛中所需要的。书中分析了相当数量的问题。本书共3章。第1章介绍算法与数据结构；第2章介绍数学知识和方法；第3章介绍计算机几何。全书内容丰富，分析透彻，启发性强，既适合读者自学，也适合于课堂讲授。 本书适用于各个层次的信息学爱好者、参赛选手、辅导老师和高等院校计算机专业的师生。本书既是信息学入门和提高的好帮手，也是一本内容丰富、新颖的资料集。。

动态规划的投资问题，c++方法，可参考，试过能用-Dynamic programming of investment issues, c++ Way of reference, never use

Lagrange算法程序，望各位喜欢，共享资源，开心大家-snjfliskanklnjklm dklsmdl /,adsfsfsf

邻结表存储的无向图的建立及遍历输出（包括深度优先与广度优先搜索）- The neighbour ties the table to save non- (first first searches to the chart establishment and the calendar output including depth with breadth)

给定n 个物品, 物品i重为wi 并且价值为 vi ，背包所能承载的最大容量为 W. 0-1 背包问题即是选择含有着最大总价值的物品的子集且它的容量 ≤W ． 用动态规划实现-given n goods, items i weight of wi and value of vi, the backpack can carry a maximum capacity of W. 0-1 knapsack problem that is a choice with a maximum total value of the goods but a subset of the W capacity. Dynamic Programming