不确定条件下面向服务系统的规划体系结构

2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI:10.1109/SCM50615.2020.9198763

L. Ptitsyna, N. S. Shevchenko, M. P. Belov, A. V. Ptitsyn

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引用次数: 0

摘要

提出了面向服务的智能系统需求的相关性。重点介绍了面向服务的智能系统软体系结构开发的前景。分析了面向服务的智能系统规划体系结构的优点。揭示了不确定条件下智能服务系统规划体系结构的特点。建立了面向服务的智能系统规划人员选择模型的基础。介绍了关键选择特性。提出了一种面向服务系统在不确定条件下进行建筑规划选择的神经网络方法。形成了选择规则。

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Planning Architecture of Service-oriented Systems under Uncertainty

The relevance of the demand for intelligent service-oriented systems is presented. The perspective areas of soft architecture development of intelligent service-oriented systems are highlighted. The advantages of planning architecture of intelligent service-oriented systems are considered. The features of planning architecture of intelligent service-oriented systems under uncertainty are disclosed. The basis of models for selecting planners for intelligent service-oriented systems are formed. The key selection features are described. A neural network apparatus for architecture planner selection for service-oriented systems under uncertainty is used. The selection rules are formed.

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来源期刊

2020 XXIII International Conference on Soft Computing and Measurements (SCM)

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