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Intelligent Real Estate Supply Chain Management System Model Design Based on the Neural Network Method

机译:智能房地产供应链管理系统模型设计基于神经网络方法

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Data mining can be conducted on the massive data analysis and data can be directly converted to “knowledge”, providing decision support for management, neural network methods of data mining is an important tool, since its establishment in the study based on the mathematical model can be on a multitude of complicated the data were analyzed, and completed mode selection and trend analysis. Traditional supply chain management system that is in essence the database system, users can only provide data for statistical inquiries function. With the increasing in data volume and complexity of the real estate management process, the traditional real estate supply chain management system has been unable to meet the demand management, real estate enterprise supply chain management system that in addition to providing data, but also provide for the management of the decision-making level decision support, the so-called smart supply chain. Data mining technology in the supply chain management system of so smart supply chain as possible, the supply chain management system, is the need to consider how to apply data mining technology to solve the location, distribution and storage of these three real estate issues. This paper discusses how to design intelligent supply chain management system model for real estate management based on neural network method to provide decision support.
机译:数据挖掘可以在大规模的数据分析和数据上进行,可以直接转换为“知识”,为管理的决策支持,神经网络的数据挖掘方法是一个重要的工具,自于其在基于数学模型的研究中的建立以来在分析多个复杂的数据中,并完成了模式选择和趋势分析。传统供应链管理系统本质上是数据库系统,用户只能提供统计查询功能的数据。随着数据量和房地产管理进程的复杂性越来越大,传统房地产供应链管理系统一直无法满足需求管理,房地产企业供应链管理系统除了提供数据外,还提供管理决策级别决策支持,所谓的智能供应链。数据挖掘技术在供应链管理系统的SO智能供应链中尽可能多,供应链管理系统,是需要考虑如何应用数据挖掘技术来解决这三个房地产问题的位置,分销和存储。本文讨论了如何根据神经网络方法设计房地产管理智能供应链管理系统模型,提供决策支持。

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