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    Khan Academy: Welcome to the Physics Library

    Khan Academy: Welcome to the Physics Library

    Physics is the study of matter, motion, energy, and force. Here, you can browse videos, articles, and exercises by topic. We keep the library up-to-date, so you may find new or improved material here over time.

    Course related:
    AP10001 Introduction to Physics
    Subjects:
    Physics
    Keywords:
    Physics
    Resource Type:
    Others
     
  • Others 
    Agent Based Modeling using AnyLogic Professional

    Agent Based Modeling using AnyLogic Professional

    Agent based modeling focuses on the individual active components of a system. This is in contrast to both the more abstract system dynamics approach, and the process-focused discrete event method. With agent based modeling, active entities, known as agents, must be identified and their behavior defined. They may be people, households, vehicles, equipment, products, or companies, whatever is relevant to the system. Connections between them are established, environmental variables set, and simulations run. The global dynamics of the system then emerge from the interactions of the many individual behaviors. AnyLogic combines professional discrete event, system dynamics, and agent based modeling in one platform for efficient, no compromise results. In our white paper, Multimethod Simulation Modeling for Business Applications, we investigate these three main simulation modeling approaches and construct a multimethod model example to illustrate the advantages of multimethod simulation modeling. Read the white paper and see why hybrid models are always a better choice!

    Course related:
    CE631 Simulation and IT Applications in Construction
    Subjects:
    Business Information Technology and Computing
    Keywords:
    Computer simulation Multiagent systems System analysis -- Data processing
    Resource Type:
    Others
     
  • Others 
    Fuzzy Logic Toolbox: Design and simulate fuzzy logic systems

    Fuzzy Logic Toolbox: Design and simulate fuzzy logic systems

    Fuzzy Logic Toolbox™ provides MATLAB® functions, apps, and a Simulink® block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning. The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system.

    Course related:
    SD5804 Design Research Methods
    Subjects:
    Computing and Mathematics and Statistics
    Keywords:
    Fuzzy systems Fuzzy logic
    Resource Type:
    Others