新型工业化背景下投资分析与规划过程优化控制的智能计算机决策支持系统

A. Shorikov, E. Butsenko, V. Tyulyukin
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摘要

本文讨论了开发和创建决策支持智能计算机系统的问题,该系统允许在新型工业化背景下优化投资分析和预测过程的控制。这样一个系统的开发和创建是基于计算机专家决策支持系统、神经网络、机器学习以及网络经济和数学建模的模型和方法的技术。考虑了创建计算机专家系统以优化经济实体投资分析和规划过程控制的主要阶段。给出了所提出的计算机专家系统知识库的生产逻辑规则和子句形式开发的具体示例。本文分析了选择适合创建所提出的智能系统的具体模型和技术的可行性。结果证明了该方法在经济实体的实际活动中应用的有效性,可以优化投资分析和预测过程的控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent computer decision support system for optimizing the control of investment analysis and projecting processes in the context of new industrialization
The article discusses the issues of development and creation of an intelligent computer system for decision support that allows to optimize the control of investment analysis and projecting processes in the context of new industrialization. The development and creation of such a system is based on the technologies of computer expert decision support systems, neural networks, machine learning, as well as models and methods of network economical and mathematical modeling. The main stages of creating a computer expert system for optimizing the control of the processes of investment analysis and projecting by an economic entity are considered. Specific examples of the development of logical rules in the production and clausal forms for the knowledge base of the proposed computer expert system are given. The work analyzes the feasibility of selecting specific models and technologies suitable for creating the proposed intellectual system. Results are presented that testify to the effectiveness of its application in the practical activities of economic entities when optimizing the control of investment analysis and projecting processes.
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