Includes bibliographical references (pages 617-644) and index.
Contents:
AI/Machine Learning Meets Simulation Modeling. Modeling and Analysis of Complex Systems -- Simulation Software -- Review of Wasic Probability and Statistics -- Building Valid, Credible, and Appropriately Detailed Simulation Models -- Selecting Input Probability Distributions -- Random-Number Generators -- Generating Random Variates -- Output Data Analysis for a Single System -- Comparing Alternative System Configurations -- Variance-Reduction Techniques -- Experimental Design and Optimization -- Agent-Based Simulation and System Dynamics -- AI/Machine Learning Meets Simulation Modeling.
Series:
[McGraw-Hill series in industrial engineering and management science]
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.