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首页> 外文会议>2007 summer computer simulation conference (SCSC'07) >INTEGRATION OF ANN MLP AND COMPUTER SIMULATION FOR INTELLIGENT DESIGN OF QUEUING SYSTEMS
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INTEGRATION OF ANN MLP AND COMPUTER SIMULATION FOR INTELLIGENT DESIGN OF QUEUING SYSTEMS

机译：排队系统智能设计的ANN MLP集成和计算机仿真

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摘要

This paper describes a framework for design andrndevelopment of intelligent simulation environment forrnqueuing system. The intelligent simulation environmentrnutilizes Artificial Neural Network (ANN) to simulate andrnoptimize a complex queuing system. The integratedrnsimulation ANN model is a computer program capable ofrnimproving its performance by referring to productionrnconstraints, system's limitations and desired targets. It is arngoal oriented, flexible and integrated approach and producesrnthe optimum solution by utilizing Multi Layer Perceptronrn(MLP). The properties and modules of the prescribedrnintelligent simulation ANN are: 1) parametric modeling, 2)rnflexibility module, 3) integrated modeling, 4) knowledgebasernmodule, 5) integrated database and 6) learning module.rnThe integrated simulation ANN is applied to 30 distinctrnG/G/K queuing systems. Furthermore, its superiority overrnconventional simulation approach is shown in tworndimensions which are running time and number of requiredrniterations.
机译：本文介绍了智能仿真环境排队系统的设计与开发框架。智能仿真环境利用人工神经网络（ANN）对复杂的排队系统进行仿真和优化。集成模拟ANN模型是一种计算机程序，能够通过参考生产约束，系统局限性和所需目标来提高其性能。它是面向人机的，灵活的集成方法，并利用多层感知器（MLP）产生最佳解决方案。所规定的智能模拟人工神经网络的特性和模块是：1）参数化建模，2）灵活性模块，3）集成建模，4）知识基础模块，5）集成数据库和6）学习模块.rn集成模拟神经网络适用于30个不同的G / G / K排队系统。此外，它的优越性超越了常规的仿真方法，在运行时间和要求的次数两个方面都得到了展示。

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  • 来源
  • 会议地点 San Diego CA(US);San Diego CA(US)
  • 作者

    A. Azadeh; Z.S. Faiz;

  • 作者单位

    Department of Industrial Engineering, Department of Engineering Optimization Research, Research Institute of Energy Management and Planning and Center of Excellence for Intelligent Experimental Mechanics, Faculty of ngineering, University of Tehran, Iran, Email: ali@azadeh.com aazadeh@ut.ac.ir;

    rnDepartment of Industrial Engineering, Department of Engineering Optimization Research, Research Institute of Energy Management and Planning and Center of Excellence for Intelligent Experimental Mechanics, Faculty of Engineering, University of Tehran, Iran;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机仿真;
  • 关键词

    ANN; MLP; queuing; learning module; knowledge-base;

    机译：人工神经网络; MLP;排队;学习模块;知识库;

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