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Boltzmann Machine Optimization 人工智能人工神经网络源码-Boltzmann Machine Optimization of artificial neural network artificial intelligence source

是一个优秀的语义个人发布平台，主要集中于美学，Web标准和可用性。它支持多用户-is an outstanding semantic personal publishing platform, focused mainly on aesthetics, Web standards and availability. It supports multi-user

找出输入txt文件中出现的不同词汇，统计各词数目并按数目排序。使用hash表提高新词插入词表速度。-Txt file to find enter appear in a different vocabulary, the number of statistics in accordance with the number of words to sort. Use hash table to insert new words to improve the speed of the word table.

数据挖掘中ID3分类算法的vc实现的源代码-Data Mining ID3 classification algorithm to achieve the vc source code

1。《遗传算法的数学基础》，张文修、梁怡编着 西安交通大学出版社 2000年第一版 遗传算法（genetic algorithm）是模拟自然界生物进化过程与机制求解问题的一类自组织与自适应的人工智能技术，已广泛应用于计算机科学、人工智能、信息技术及工程实践。 本书重点在于阐述遗传算法的数学基础。全书共分3章，第1章给出了遗传算法的几何理论，第2章给出了遗传算法的马尔可夫链分析，第3章给出了遗传算法的收敛理论。 本书可以作为应用数学、计算机科学、系统科学等专业研究生的教材，也可以作为研究遗传算法的参考书。 -1. "Genetic Algorithm mathematical basis," Zhang Xiu, Yi Liang compile Xi"an Jiaotong University Press in 2000 the first edition of the genetic algorithm (genetic algorit hm) is a simulation of natural biological evolution process and mechanisms to solve the problem of a kind of self-organization and adaptive artificial intelligence technology, has been widely used in computer science, artificial intelligence, information technology, and engineering practice. The book focused on the genetic algorithm described math. The book is divided into three chapters, one chapter is a genetic algorithm of the geometric theory Chapter 2 of the genetic algorithm is a Markov chain analysis, presented in Chapter 3 of the geneti

这个是SA模拟退火求函数极值用c++编译的程序-the simulated annealing SA is seeking function using extreme procedures c compiler

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

遗传算法多点交叉算法-genetic algorithms more cross-Algorithm

加了动量项和域值，比较好用的bp网络算法-added value items and Victoria, better quality bp Network

用于程序优化与遗传算法-procedures for optimization and genetic algorithms