Książki na temat „Simulation à base de processus”

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1

Chang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu i Steven I. Marcus. Simulation-based Algorithms for Markov Decision Processes. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-690-2.

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2

Chang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu i Steven I. Marcus. Simulation-Based Algorithms for Markov Decision Processes. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5022-0.

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3

Soo, Chang Hyeong, red. Simulation-based algorithms for Markov decision processes. London: Springer, 2007.

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4

Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. Wyd. 2. London: Springer London, 2013.

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5

Yuktadatta, Panurit. Simulation of a parallel processor based small tactical system. Monterey, Calif: Naval Postgraduate School, 1991.

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6

Birmingham), Autotech 1991 (1991. Simultaneous engineering, simulation and data base models. [London]: Institution of Mechanical Engineers, 1991.

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Birmingham), Autotech 1991 (1991. Simultaneous engineering, simulation and data base models. [London]: Institution of MechanicalEngineers, 1991.

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8

Shedler, G. S. Regenerative stochastic simulation. Boston: Academic Press, 1993.

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9

United States. General Accounting Office. National Security and International Affairs Division. Base closures. [Washington, D.C.]: The Office, 1992.

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10

Markov chain Monte Carlo simulations and their statistical analysis: With web-based Fortran code. Hackensack, NJ: World Scientific, 2004.

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11

P, Chong Ken, red. Modeling and simulation-based life cycle engineering. London: Spon Press, 2002.

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12

K, Iyer R., i United States. National Aeronautics and Space Administration, red. Error propagation in a digital avionic processor: A simulation-based study. Urbana, Ill: Computer Systems Group, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1986.

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13

Bannouri, Rabii. Création d'une base de données bibliographiques et processus de négociation de référence. Tunis: Centre de recherches en documentation, bibliothéconomie et archivistique, 1985.

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14

Markov chain Monte Carlo simulations and their statistical analysis: With web-based fortran code. Singapore: World Scientific Publishing, 2004.

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15

Whitney, Charles Allen. Random processes in physical systems: An introduction to probability-based computer simulations. New York: Wiley, 1990.

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16

F, Borchers Paul, Franklin James A i Ames Research Center, red. Moving base simulation of an ASTOVL Lift-fan aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1995.

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17

F, Borchers Paul, Franklin James A i Ames Research Center, red. Moving base simulation of an ASTOVL Lift-fan aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1995.

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18

United States. General Accounting Office. National Security and International Affairs Division, red. Base closures. Washington, D.C: The Office, 1992.

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19

Taskinen, Leo Tapani. Measuring change management in manufacturing processes: A measurement method for simulation-game-based process development. Espoo [Finland]: Technical Research Centre of Finland, 2002.

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20

Reid, L. D. Flight simulation motion-base drive algorithms. Part 3. Pilot evaluations. [Downsview, Ont.]: Institute for Aerospace Studies, 1986.

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21

Ferrand, Ludovic. Cognition et lecture: Processus de base de la reconnaissance des mots crits chez l'adulte. Bruxelles: De Boeck Universit, 2001.

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22

Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. Wyd. 2. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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Streszczenie:
The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations. It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
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23

M, Cross, Pittman J. F. T i Wood Richard D, red. Mathematical modelling for materials processing: Based on the proceedings of a conference on Mathematical Modelling of Materials Processing, organized by the Institute of Mathematics and its Applications and held at the University of Bristol in September 1991. Oxford: Clarendon Press, 1993.

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24

Treuil, Jean-Pierre. Modélisation et simulation à base d'agents: Exemples commentés, outils informatiques et questions théoriques. Paris: Dunod, 2008.

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25

Cunningham, William L. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. Columbus, Ohio: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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26

L, Cunningham William. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. Columbus, Ohio: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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27

L, Cunningham William. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. Columbus, Ohio: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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28

Cunningham, William L. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. Columbus, Ohio: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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29

University of Texas at Austin. Large Scale Programs Institute., University of Texas at Austin. Center for Space Research. i Lyndon B. Johnson Space Center., red. A demonstrative model of a lunar base simulation on a personal computer. [Houston, Tex.?: National Aeronautics and Space Administration, Johnson Space Center?, 1987.

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30

Kotut, R. K. The study and simulation of a DCS1800 mobile communications base station receiver. Manchester: UMIST, 1997.

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31

Reid, L. D. Flight simulation motion-base drive algorithms: Part 2 - Selecting the system parameters. [Downsview, Ont.]: Institute for Aerospace Studies, 1986.

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32

Franklin, James A. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1997.

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33

Franklin, James A. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1997.

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34

Franklin, James A. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1997.

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35

Center, Ames Research, red. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1997.

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36

1934-, Morokuma K., i Musaev Djamaladdin G, red. Computational modeling for homogeneous and enzymatic catalysis: A knowledge-base for designing efficient catalysts. Weinheim: Wiley-VCH, 2008.

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37

A, Kohler Timothy, i Gumerman George J, red. Dynamics in human and primate societies: Agent-based modeling of social and spatial processes. New York: Oxford University Press, 2000.

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38

Plenge, Waagepetersen Rasmus, red. Statistical inference and simulation for spatial point processes. Boca Raton, Fla: Chapman & Hall/CRC, 2004.

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39

Randy, Gimblett H., red. Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes. Oxford: Oxford University Press, 2002.

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40

Haugh, Connor J. Hydrogeology and simulation of ground-water flow at Arnold Air Force Base, Coffee and Franklin counties, Tennessee. [Washington, D.C: U.S. G.P.O.], 1994.

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41

Hinaman, Kurt C. Hydrogeology and simulation of ground-water flow at Dover Air Force Base, Delaware. Baltimore, Md: U.S. Department of the Interior, U.S. Geological Survey, 2000.

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42

Cox, William M. Evaluation of rural air quality simulation models: Addendum A, Muskingum River data base. Research Triangle Park, NC: U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1985.

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43

Reid, L. D. Flight simulation motion-base drive algorithms: Part 1 - Developing and testing the equations. [Downsview, Ont.]: Institute for Aerospace Studies, 1985.

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44

Hinaman, Kurt C. Hydrogeology and simulation of ground-water flow at Dover Air Force Base, Delaware. Baltimore, Md: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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45

Institut canadien d'information sur la santé., red. Processus d'assurance de la qualité relatifs à la Base de données sur les congés des patients et à la Base de données sur la morbidité hospitalière. Ottawa, Ont: Institut canadien d'information sur la santé, 2002.

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46

Introduction to stochastic search and optimization: Estimation, simulation, and control. Hoboken, N.J: J. Wiley, 2003.

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47

Arnaud, Chauvière, Preziosi Luigi i Verdier Claude 1962-, red. Cell mechanics: From single scale-based models to multiscale modeling. Boca Raton: Chapman & Hall/CRC, 2009.

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48

Arnaud, Chauvière, Preziosi Luigi i Verdier Claude, red. Cell mechanics: From single scale-based models to multiscale modeling. Boca Raton: Chapman & Hall/CRC, 2009.

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49

Luigi, Preziosi, i Verdier Claude, red. Cell mechanics: From single scale-based models to multiscale modeling. Boca Raton: Chapman & Hall/CRC, 2009.

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50

Hay, Lee Loo, red. Stochastic simulation optimization: An optimal computing budget allocation. New Jersey: World Scientific, 2011.

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