Книги з теми "Predictive simulation model"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 книг для дослідження на тему "Predictive simulation model".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте книги для різних дисциплін та оформлюйте правильно вашу бібліографію.
1962-, Bordons C., ed. Model predictive control. Berlin: Springer, 1999.
Знайти повний текст джерелаCamacho, E. F. Model predictive control. London: Springer, 2003.
Знайти повний текст джерелаCamacho, E. F. Model predictive control. 2nd ed. New York: Springer, 2004.
Знайти повний текст джерелаRichards, Thomas. A predictive model of Aboriginal archaeological site distribution in the Otway Range. [Melbourne]: Aboriginal Affairs Victoria, 1998.
Знайти повний текст джерелаBousfield, Wayne E. Application of predictive model to forecast Douglas-fir tussock moth defoliation. Missoula, Mont: USDA Forest Service, Northern Region, 1986.
Знайти повний текст джерелаMcMillan, Gregory K. Models unleashed: Virtual plant and model predictive control applications : a pocket guide. Research Triangle Park, NC: ISA, 2004.
Знайти повний текст джерелаBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Bureau of Land Management, Utah State Office, 1986.
Знайти повний текст джерелаBlack, Kevin D. The Castle Valley archaeological project: An inventory and predictive model of selected tracts. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Знайти повний текст джерелаBlack, Kevin D. The Castle Valley archaeological project: An inventory and predictive model of selected tracts. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Знайти повний текст джерелаBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Знайти повний текст джерелаBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Знайти повний текст джерелаBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Знайти повний текст джерелаJ, Hunt R., Tonkin Matthew J, Groundwater Resources Program (U.S.), and Geological Survey (U.S.), eds. Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2011.
Знайти повний текст джерелаChristoph, Helma, ed. Predictive toxicology. Boca Raton: Taylor & Francis, 2005.
Знайти повний текст джерелаArthur, Province Michael, and United States. National Telecommunications and Information Administration., eds. An automated wide area prediction model for microwave common carrier links. [Washington, D.C.?]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1990.
Знайти повний текст джерелаPreisendorfer, Rudolph W. Simulation data sets for testing MOS (model output statistics) prediction methods. Seattle, Wash: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Pacific Marine Environmental Laboratory, 1985.
Знайти повний текст джерелаMcKay, Michael D. Evaluating prediction uncertainty. Washington, DC: The Commission, 1995.
Знайти повний текст джерелаRangwala, Huzefa, G. Karypis, and G. Karypis. Introduction to protein structure prediction: Methods and algorithms. Hoboken, N.J: Wiley, 2010.
Знайти повний текст джерелаAbarbanel, Henry. Predicting the Future: Completing Models of Observed Complex Systems. New York, NY: Springer New York, 2013.
Знайти повний текст джерелаChen, Chuin-Shan. Crack growth simulation and residual strength prediction in airplane fuselages. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Знайти повний текст джерелаBierbaum, Carl R. Task analysis of the UH-60 mission and decision rules for developing a UH-60 workload prediction model. Alexandria, VA: U.S. Army Research Institute for the Behavioral and Social Sciences, 1989.
Знайти повний текст джерелаEl-Fadeel, Salah Ibrahim Abd. A Mathematical Model for Calculating Non-Detection Probability of a Random Tour Target. Monterey, California: Naval Postgraduate School, 1985.
Знайти повний текст джерелаNational Research Council. Transportation Research Board., ed. Traffic flow theory: Simulation models, macroscopic flow relationships, and flow estimation and prediction. Washington, DC: National Academy Press, 1998.
Знайти повний текст джерелаHughes, Garrett A. Key algorithms used in GR02: A computer simulation model for predicting tree and stand growth. [Broomall, Pa.]: U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.
Знайти повний текст джерелаA, Viterna Larry, and Lewis Research Center, eds. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.
Знайти повний текст джерелаA, Viterna Larry, and Lewis Research Center, eds. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.
Знайти повний текст джерелаA, Viterna Larry, and Lewis Research Center, eds. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.
Знайти повний текст джерелаNational Institute of Standards and Technology (U.S.), ed. The zone fire model JET: A model for the prediction of detector activation and gas temperature in the presence of a smoke layer. Gaithersburg, Md: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Знайти повний текст джерелаMass, Clifford. A next-generation land surface model for the prediction of pavement temperature. [Olympia, Wash.]: Washington State Dept. of Transportation, 2003.
Знайти повний текст джерелаWu, Helen. Evolutionary development of the Simulation by Logical Modeling System (SIBYL). [Washington, DC: National Aeronautics and Space Administration, 1995.
Знайти повний текст джерелаChen, X. Modelling and predicting textile behaviour. Cambridge: Woodhead Publishing, 2010.
Знайти повний текст джерелаBrenner, Martin J. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Знайти повний текст джерелаRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Знайти повний текст джерелаRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Знайти повний текст джерелаRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Знайти повний текст джерелаRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Знайти повний текст джерелаOntario. Ministry of Municipal Affairs. Lakeshore Capacity Study: Integration : a simulation model for predicting the impact of lakeshore cottages on the environment. Toronto, Ont: Ontario Ministry of Municipal Affairs, 1986.
Знайти повний текст джерелаKonnie, Wescott, and Brandon R. Joe 1967-, eds. Practical applications of GIS for archaeologists: A predictive modeling toolkit. London: Taylor and Francis, 2000.
Знайти повний текст джерелаMurray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.
Знайти повний текст джерелаMurray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.
Знайти повний текст джерелаMurray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.
Знайти повний текст джерелаRangwala, Huzefa. Introduction to protein structure prediction: Methods and algorithms. Hoboken, N.J: Wiley, 2010.
Знайти повний текст джерелаBroughton, J. Simulation of the structure and predictive fouling of cellular ceramic membranes in both dead end and cross flow modes. Manchester: UMIST, 1994.
Знайти повний текст джерелаFacility, Dryden Flight Research, ed. A simulation study of turbofan engine deterioration estimation using Kalman filtering techniques. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1991.
Знайти повний текст джерелаBarber, M. Craig. FGETS (Food and Gill Exchange of Toxic Substances): A simulation model for predicting bioaccumulation of nonpolar organic pollutants by fish. Athens, GA: U.S. Environmental Protection Agency, Environmental Research Laboratory, 1988.
Знайти повний текст джерелаBarber, M. Craig. FGETS (Food and Gill Exchange of Toxic Substances): A simulation model for predicting bioaccumulation of nonpolar organic pollutants by fish. Athens, GA: U.S. Environmental Protection Agency, Environmental Research Laboratory, 1988.
Знайти повний текст джерелаBurnett, Robert D. Predictive simulation of alternatives for managing the water resources of North Fork Solomon River Valley between Kirwin Dam and Waconda Lake, north-central Kansas. Lawrence, Kan: U.S. Dept. of Interior, Geological Survey, 1985.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. An RL10A-3-3A rocket engine model using the rocket engine transient simulator (ROCETS) software. [Washington, D.C.]: National Aeronautics and Space Administration, 1993.
Знайти повний текст джерелаHuang, Biao. Dynamic modelling and predictive control in solid oxide fuel cells: First principle and data-based approaches. Hoboken: John Wiley & Sons Inc., 2013.
Знайти повний текст джерелаBaranick, Michael, Mark Abdollahian, Brian Efird, and Jack Kugler. Senturion: A predictive Polititcal Simulation Model. CreateSpace Independent Publishing Platform, 2012.
Знайти повний текст джерела