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- 基于遗传算法的BP神经网络气象预报建模,20世纪90年代以来，国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。然而随着神经网络方法在大气科学领域研究的不断深入，研究人员发现神经网络方法在实际业务天气预报应用中存在一个重要的问题-BP neural network modeling of weather forecasting, in the 20th century since the 1990s, domestic and international discipline
pentaho_data-1.2.0.534-GA
- A complete business intelligence platform that includes reporting, analysis (OLAP), dashboards, data mining and data integration (ETL). Use it as a full suite or as individual components that are accessible via web services. Ranked #1 in open source
NeuroNetSample
- 我以前写的一个的神经网络学习函数逼近和分类的例子，商用级的。-I have previously written a study of the neural network function approximation and classification of examples, business class.
jingxiangji
- 用径向基函数法实现模式分类，自动选择最佳隐含层书目，并给出差准率和差全率。-Radial basis function method used to achieve pattern classification, automatically select the best hidden layer bibliography, and to the business associate and full-rate differential.
BITemp
- 商业智能用 决策树 Id3算法 C语言-Business Intelligent
TSP_hopfield
- 通过hopfield神经网络解决TSP商务旅行商问题，找出一条最短路径！-By hopfield neural networks to solve traveling salesman problem TSP business, find a shortest path!
Based_on_genetic_algorithm_for_solving_knapsack_pr
- 背包问题(Knapsack problem)是一种组合优化的NP完全问题, 相似问题经常出现在商业、投资组合优化、组合数学，计算复杂性理论、密码学和应用数学等领域中，因此具有广泛的实际应用领域。-Knapsack problem (Knapsack problem) is a kind of combinatorial optimization of NP-complete problem, the problem often similar to business, investment po
lvxiangshangwenti
- 给予蚁群算法的旅商解决办法很好的论文 你供大家使用-Ant colony algorithm for the travel business solutions for all your good paper to use
BPEL-Creation-Review
- BUSINESS PROCESS EXECUTION LANGUAGE
yxsjwj
- 决策是管理的核心，是提出问题并解决问题的过程。诊断是提出问题的钥 匙，是解决问题的前提。《营销数据挖掘》通过对营销信息的加工、分析、诊 断，明晰出企业营销的问题和工作重点，为管理层实施决策提供了前期保证。 该软件具有数据采集、集成加工、营销分析、营销预测、辅助决策、市场 诊断、进存优化等诸多功能。它借助两年以上的营销信息，辅助企业准确、精 细且高效地实施营销决策。使企业始终保持旺盛的生命力和效益的稳定增长。-Decision-making is the core of man
DBOpsBPEL
- This source code show how to call database operation from Business Process Execution Language(BPEL).
ffll_src_2_2_1
- 模糊逻辑处理的开源库，在游戏开发以及商业智能方面有不错的应用-Fuzzy logic processing of the open source library, in the game development and business intelligence applications has good
yichuanxuesuanfa
- §1遗传算法的基本概念 §2简单的遗传算法 1． 选择 2． 交换 3． 变异 §3简单的遗传算法运算示例 1． 计算机公司的经营策略优化问题 2． 函数优化问题 §4遗传算法应用举例 1． 子集和问题 2． TSP（旅行商）问题 §5结束语 【附录】 1． 子集和问题源程序 2． TSP（旅行商）问题源程序 -The basic concept of genetic algorithm in § 1 § 2 of the simp
dms
- 通用数据挖掘系统 仿电信行业中Unix实验室出租业务 有详细设计及开发流程图-Detailed design and development flow chart of Unix laboratory rental business in the telecommunications industry of the general data mining system simulation
data-mining-application-research
- 数据 挖掘就是面对海量的存储数据建立数学模型，找出隐含的业务规则和有价值的信 息，在实际应用中发挥作用 -Data mining is the face of vast amounts of stored data to a mathematical model to identify the implicit business rules and valuable information to play a role in practical applications
Apriorisrc
- Apriori算法是一种挖掘关联规则的频繁项集算法，其核心思想是通过候选集生成和情节的向下封闭检测两个阶段来挖掘频繁项集。而且算法已经被广泛的应用到商业、网络安全等各个领域。-Apriori algorithm is an association rule mining frequent itemsets algorithm, the core idea is to dig down through the closed itemsets candidate sets generated in
apriori_java
- Apriori算法[1]是一种最有影响的挖掘布尔关联规则频繁项集的算法。其核心是基于两阶段频集思想的递推算法。该关联规则在分类上属于单维、单层、布尔关联规则。在这里，所有支持度大于最小支持度的项集称为频繁项集，简称频集。-Apriori algorithm [1] is one of the most influential association rule mining algorithm Boolean frequent item sets. Its core is based on a t
BI-PPT
- 商务智能ppt，学校的讲义 介绍商务智能基础知识，有参考价值-Business Intelligence School Handouts Introduces the basics of business intelligence, is worth considering
GA-TSP
- 用遗传算法求解TSP问题。 假设有一个旅行商人要拜访N个城市，他必须选择所要走的路径，路径的限制是每个城市只能拜访一次，而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。TSP问题是一个NPC问题。-Genetic algorithm for TSP. Suppose you have a travel business to visit N cities, he must choose which path to go, limiting the pat
代码
- 路径优化问题研究，关于车辆路径问题的研究，主要使用商旅问题中的路径优化。(The research on the path optimization problem, the research of vehicle routing problem, mainly uses the route optimization in the business travel problem.)