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

机译:基于神经网络方法的智能房地产供应链管理系统模型设计

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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:数据挖掘可以对海量数据进行分析,并且可以将数据直接转换为“知识”,为管理提供决策支持,神经网络数据挖掘方法是重要的工具,因为其在研究中建立了基于数学模型的模型可以对大量复杂的数据进行了分析,并完成了模式选择和趋势分析。传统的供应链管理系统实质上就是数据库系统,用户只能提供用于统计查询的数据功能。随着数据量的增加和房地产管理流程的复杂性,传统的房地产供应链管理系统已无法满足需求管理,房地产企业供应链管理系统除了提供数据外,还提供决策层决策支持的管理,即所谓的智能供应链。在供应链管理系统中的数据挖掘技术如此之聪明,就是供应链管理系统,是需要考虑如何应用数据挖掘技术来解决这三个房地产的位置,分布和存储问题。本文讨论了如何设计基于神经网络方法的房地产供应商智能供应链管理系统模型,以提供决策支持。

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