Academic literature on the topic 'Modelli deterministici'
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Journal articles on the topic "Modelli deterministici"
ÇELİK EROĞLU, Şeyma, and Yusuf ŞAHİN. "Geri Dönüşüm Süreci İçin Yeni Bir Bulanık Envanter Modeli." Deu Muhendislik Fakultesi Fen ve Muhendislik 25, no. 73 (January 26, 2023): 21–36. http://dx.doi.org/10.21205/deufmd.2023257303.
Full textÇağlar, Hatice Nazan. "Bitcoin kaotik analizi ve fiyat tahmin modeli önerisi." Journal of Life Economics 9, no. 1 (February 2, 2022): 33–39. http://dx.doi.org/10.15637/jlecon.9.1.03.
Full textKanno, Masayasu. "The valuation of stochastic insurance liabilities using a structural model approach." Journal of Financial Engineering 02, no. 01 (March 2015): 1550007. http://dx.doi.org/10.1142/s2345768615500075.
Full textColonnese, Fabio. "L’Objet Trouvé come modello tra approcci analogici e digitali." EGA Revista de Expresión Gráfica Arquitectónica 25, no. 40 (November 17, 2020): 156. http://dx.doi.org/10.4995/ega.2020.12934.
Full textKardash, Stanislav. "Bewertung der Regelgüte bei komplexen Prozessstörungen." atp magazin 61, no. 4 (March 28, 2019): 80–89. http://dx.doi.org/10.17560/atp.v61i4.2392.
Full textCrabtree, R., H. Garsdal, R. Gent, O. Mark, and J. Dórge. "MOUSETRAP — A DETERMINISTIC SEWER FLOW QUALITY MODEL." Water Science and Technology 30, no. 1 (July 1, 1994): 107–15. http://dx.doi.org/10.2166/wst.1994.0011.
Full textKleijwegt, Rob A. "On the Prediction of Sediment Transport in Sewers with Deposits." Water Science and Technology 27, no. 5-6 (March 1, 1993): 69–80. http://dx.doi.org/10.2166/wst.1993.0487.
Full textTyran-Kamińska, M. "Diffusion and Deterministic Systems." Mathematical Modelling of Natural Phenomena 9, no. 1 (2014): 139–50. http://dx.doi.org/10.1051/mmnp/20149110.
Full textWood, R. Kevin. "Deterministic network interdiction." Mathematical and Computer Modelling 17, no. 2 (January 1993): 1–18. http://dx.doi.org/10.1016/0895-7177(93)90236-r.
Full textLee, Heeyoung, Angel Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. "Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules." Computational Linguistics 39, no. 4 (December 2013): 885–916. http://dx.doi.org/10.1162/coli_a_00152.
Full textDissertations / Theses on the topic "Modelli deterministici"
Artioli, Simone. "Dinamica delle popolazioni: modelli deterministici di Lotka-Volterra." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21934/.
Full textLi, Shan. "Railway sleeper modelling with deterministic and non-deterministic support conditions." Thesis, KTH, Väg- och banteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91634.
Full textBosi, Marco. "Modelli dinamici di geodinamo." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12062/.
Full textSmith, Emma Catherine. "Deterministic modelling of whole-body sheep metabolism." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/807.
Full textHopf, Craig. "Exchange traded horserace betting fund with deterministic payoff – a mathematical analysis of a profitable deterministic horserace betting model." Thesis, Griffith University, 2014. http://hdl.handle.net/10072/366832.
Full textThesis (Masters)
Master of Philosophy (MPhil)
Griffith School of Environment
Science, Environment, Engineering and Technology
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Contant, Sheila. "Modelagem de reatores de polimerização : deterministica e por redes neurais." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/267389.
Full textTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica
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Resumo: Neste trabalho, foram estudados diferentes processos de polimerização: (1) homopolimerização do estireno e copolimerização do estireno com metacrilato de metila em emulsão via radical livre convencional e (2) homopolimerização do estireno em massa via radical livre no processo controlado/vivo mediado por nitróxido. A modelagem dos processos foi realizada por meio de duas abordagens diferentes: inicialmente, modelos determinísticos foram desenvolvidos para cada caso e, utilizando resultados gerados por esses modelos, redes neurais foram treinadas para a modelagem inversa dos processos. Na modelagem determinística, foram desenvolvidos programas computacionais para as polimerizações em emulsão e simulações foram realizadas para diferentes condições operacionais. Para a polimerização controlada em massa, foi utilizado um programa computacional da literatura ao qual foram introduzidas modificações. Em todos os casos, foram levantados extensos bancos de dados de parâmetros cinéticos para todos os componentes envolvidos. Para o trabalho com as redes neurais, foi utilizado um programa computacional previamente desenvolvido ao qual foram introduzidas modificações. Redes neurais foram utilizadas para modelagem inversa dos processos, sendo treinadas para a predição de condições operacionais capazes de levar à produção de polímeros com propriedades específicas. As duas metodologias utilizadas para a modelagem matemática foram capazes de extrair importantes e diferentes informações dos processos de polimerização estudados, mostrandose portanto ferramentas bastante interessantes e eficientes para aplicação na área de engenharia de polimerização
Abstract: In this work different polymerization processes were studied: (1) styrene homopolymerization and styrene/methyl methacrylate copolymerization in emulsion in the conventional freeradical process, and (2) styrene homopolymerization in bulk in the nitroxidemediated controlled/living freeradical process. Modelling was developed using two different approaches: initially deterministic models were developed in each case, and using results from these models neural networks were trained to the inverse modelling of the processes. In the deterministic modelling, computational programas were developed to the emulsion polymerizations, and simulations were performed for different operating conditions. A modified computational program from the literature was used in the controlled polymerization in bulk. In all cases, large databases of kinetic parameters to all the compounds present were searched. A modified computational program previously developed was used in the work with neural networks. Neural networks were used to the inverse modelling of the processes, and were trained to predict operating conditions that could lead to production of polymers with specific properties. The two methodologies used in the mathematical modelling were able to extract important and different information from the polymerization processes studied, showing its potential to an efficient aplication in the polymerization area
Doutorado
Desenvolvimento de Processos Químicos
Doutor em Engenharia Química
Lim, Shen Hin Mechanical & Manufacturing Engineering Faculty of Engineering UNSW. "Calibration-free image sensor modelling: deterministic and stochastic." Awarded by:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/44563.
Full textLei, Hung Fei. "Modelling soil creep using deterministic and stochastic approaches." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411022.
Full textBald, Atelmo Aloisio. "Modelos deterministicos com equações de diferenças de fenomenos biologicos." [s.n.], 1993. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306491.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica
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Resumo: Não informado.
Abstract: Not informed.
Mestrado
Mestre em Matemática Aplicada
Bartasson, Maria Cristiane. "Modelagem e simulação de um processo de copolimerização pelo uso de logica nebulosa e modelo deterministico." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/266659.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica
Made available in DSpace on 2018-08-09T00:47:26Z (GMT). No. of bitstreams: 1 Bartasson_MariaCristiane_M.pdf: 2568524 bytes, checksum: e046e909aa1b5cd1ea76f5a6c76ad669 (MD5) Previous issue date: 2005
Resumo: O processo de copolimerização do metacrilato de metila/acetato de vinila ocorre pelo mecanismo cinético de radicais livres. Este sistema de copolimerização é interessante pois o metacrilato de metila é muito mais reativo que o acetato de vinila, como indicado por suas respectivas taxas de reatividades, 26 e 0,3. O produto é caracterizado pela fração molar de metacrilato de metila no copolímero, pelo peso molecular e pela viscosidade intrínseca. O mecanismo reacional e parâmetros cinéticos foram obtidos da literatura (Congalidis, J.P., 1989) e discutidos no capítulo 3. O processo foi modelado em malha aberta por Mattedi (2003) em um software em Fortran. Tal software foi usado em simulações e estudo do processo. O comportamento dinâmico do sistema foi avaliado. O pacote Statistica versão 7.0 foi utilizado para a execução da técnica de planejamento fatorial, sendo que a ¿planta¿ do processo foi o próprio software de simulação. Esta etapa foi fundamental para a construção de modelos empíricos e da avaliação das variáveis fundamentais para cada saída do processo. A partir das avaliações do planejamento fatorial, escolheram-se as condições para simulação do modelo, inserindo-se variações-degrau nas variáveis de entrada do reator que influenciavam preponderantemente nas variáveis de saída do processo. A fim de se obter modelos práticos para operações no processo, foram elaborados modelos inteligentes, baseados em conceitos de lógica fuzzy
Abstract: The process of solution copolymerization of methyl methacrylate and vinyl acetate occurs through free radicals mechanism. This system of copolymerization is interesting therefore the methyl methacrylate is much more reactive that the vinyl acetate, as indicated for its respective rate of reactivity 26 and 0,3. A idea of the product quality is obtained by the methyl methacrylate molar fraction in the copolymer, molecular weight and intrinsic viscosity. The reaction mechanism and parameters kinetic had been gotten of literature (Congalidis, J.P., 1989) and showed in chapter 3. The process was modeling in open system by Mattedi (2003) in a software in FORTRAN. This software was used in simulation and study of the process. The dynamic behavior of the system was evaluated. The Statistica software version 7.0 was used for the execution of the technique of factorial planning, being that the "plant" of the process was the proper software of simulation. This stage was basic for the construction of empirical models and the evaluation of the basic variable for each control variable of the process. From the evaluations of the factorial planning, one chose the conditions for simulation of the model, inserting itself variation-step in manipulated variable of the reactor that influenced preponderantly in the control variable of the process. In order to get practical models for operations in the process, intelligent models were construct, based in concepts of fuzzy logic
Mestrado
Desenvolvimento de Processos Químicos
Mestre em Engenharia Química
Books on the topic "Modelli deterministici"
Bischi, Gian Italo. Sulle orme del caos: Comportamenti complessi in modelli matematici semplici. Milano: B. Mondadori, 2004.
Find full text1940-, Radcliffe John, ed. Spatial deterministic epidemics. Providence, R.I: American Mathematical Society, 2003.
Find full textJanssen, Jacques. Mathematical fianance: Deterministic and stochastic models. Hoboken, N.J: ISTE/John Wiley, 2008.
Find full textJanssen, Jacques. Mathematical fianance: Deterministic and stochastic models. Hoboken, N.J: ISTE/John Wiley, 2008.
Find full textLadislav, Krlín, ed. Deterministický chaos a matematické modely turbulence. Praha: Academia, 1996.
Find full textDeterministic lotsizing models for production planning. Berlin: Springer-Verlag, 1991.
Find full textHong, Sung-Min. Deterministic solvers for the Boltzmann transport equation. Wein: Springer, 2011.
Find full textHendricks, Elbert. Linear systems control: Deterministic and stochastic methods. Berlin: Springer, 2008.
Find full textE, Jannerup O., and Sørensen Paul H, eds. Linear systems control: Deterministic and stochastic methods. Berlin: Springer, 2008.
Find full textBook chapters on the topic "Modelli deterministici"
Albeverio, Sergio. "Modelli deterministici di evoluzione dei sistemi dinamici: introduzione." In UNITEXT, 25–31. Milano: Springer Milan, 2021. http://dx.doi.org/10.1007/978-88-470-4008-3_3.
Full textO’Donnell, T. "Deterministic Catchment Modelling." In River Flow Modelling and Forecasting, 11–37. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4536-4_2.
Full textCerf, Raphaël, and Joseba Dalmau. "Deterministic Level." In Probability Theory and Stochastic Modelling, 209–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08663-2_26.
Full textRenard, Philippe, Andres Alcolea, and David Ginsbourger. "Stochastic versus Deterministic Approaches." In Environmental Modelling, 133–49. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118351475.ch8.
Full textRoy, Radhika Ranjan. "Deterministic Mobility." In Handbook of Mobile Ad Hoc Networks for Mobility Models, 245–63. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6050-4_8.
Full textChazelle, Bernard. "Deterministic sampling and optimization." In System Modelling and Optimization, 42–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0035458.
Full textDavis, Mark H. A. "Piecewise-deterministic Markov processes." In Markov Models and Optimization, 35–80. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-4483-2_2.
Full textConstantin, Isabelle, Michael Florian, and Heinz Spiess. "Deterministic Time Table Transit Assignment." In National Transport Models, 61–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04853-5_6.
Full textHeij, C. "Approximate Modelling of Deterministic Systems." In Modelling, Robustness and Sensitivity Reduction in Control Systems, 271–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_17.
Full textOakley, Jeremy E. "Modelling with Deterministic Computer Models." In Simplicity, Complexity and Modelling, 51–67. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119951445.ch4.
Full textConference papers on the topic "Modelli deterministici"
Reis, Teresa, Dario Calderon, Pia Sartor, Jonathan E. Cooper, and Judi Cheeseman. "Development of a Wing Weight Convergence Simulation including Uncertainty Modelling and Sensitivity Analysis." In 2018 AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-2165.
Full textSmieja, Jaroslaw. "Deterministic Modeling of Stochastic Gene Transcription Processes." In Modelling, Identification and Control. Calgary,AB,Canada: ACTAPRESS, 2014. http://dx.doi.org/10.2316/p.2014.809-018.
Full textWhite, P. R. "An introduction to deterministic modelling." In IEE Colloquium on The Use of Model Based Digital Signal Processing Techniques in the Analysis of Biomedical Signals. IEE, 1997. http://dx.doi.org/10.1049/ic:19970060.
Full textDowse, Malcolm, and Andrew Butterfield. "Modelling deterministic concurrent I/O." In the eleventh ACM SIGPLAN international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1159803.1159823.
Full textKaipio, J. P., and M. Juntunen. "Deterministic regression smoothness priors TVAR modelling." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.756319.
Full textGrills, C., A. Chacko, N. Crawford, P. G. Johnston, D. A. Fennell, S. F. C. O’Rourke, George Maroulis, and Theodore E. Simos. "Deterministic Modelling of BAK Activation Kinetics." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Advances in Computational Science: Lectures presented at the International Conference on Computational Methods in Sciences and Engineering 2008 (ICCMSE 2008). AIP, 2009. http://dx.doi.org/10.1063/1.3225249.
Full textJakobik, Agnieszka, Daniel Grzonka, Joanna Kolodziej, and Horacio Gonzalez-Velez. "Towards Secure Non-Deterministic Meta-Scheduling For Clouds." In 30th Conference on Modelling and Simulation. ECMS, 2016. http://dx.doi.org/10.7148/2016-0596.
Full textBiham, Ofer, Nathalie Q. Balaban, Adiel Loinger, Azi Lipshtat, and Hagai B. Perets. "Deterministic and stochastic simulations of simple genetic circuits." In Stochastic Models in Biological Sciences. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2008. http://dx.doi.org/10.4064/bc80-0-4.
Full textGraur, Oana, and Werner Henkel. "Steps Towards Decentralized Deterministic Network Coding." In 2014 2nd International Conference on Artificial Intelligence, Modelling & Simulation (AIMS). IEEE, 2014. http://dx.doi.org/10.1109/aims.2014.44.
Full textDi Giampaolo, E., and F. Bardati. "A deterministic tool for multipath propagation modelling." In IEEE Antennas and Propagation Society Symposium, 2004. IEEE, 2004. http://dx.doi.org/10.1109/aps.2004.1331813.
Full textReports on the topic "Modelli deterministici"
Hunt, G., and Y. Y. Azmy. Graphics development of DCOR: Deterministic combat model of Oak Ridge. [Deterministic Combat model of Oak Ridge (DCOR)]. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/7225791.
Full textBailey, Timothy J. Multiple Runs of a Deterministic Combat Model. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada406335.
Full textGregor, Nicholas, Kofi Addo, Linda Al Atik, Gail Atkinson, David Boore, Yousef Bozorgnia, Kenneth Campbell, et al. Comparison of NGA-Sub Ground-Motion Models. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/ubdv7944.
Full textVarga, B., J. Farkas, R. Cummings, Y. Jiang, and D. Fedyk. Flow and Service Information Model for Deterministic Networking (DetNet). RFC Editor, March 2021. http://dx.doi.org/10.17487/rfc9016.
Full textAnderson, M. G., and J. E. Cochrane. Evaluation of Deterministic Models for Near Surface Soil Moisture Prediction. Fort Belvoir, VA: Defense Technical Information Center, April 1987. http://dx.doi.org/10.21236/ada195388.
Full textCochrane, J. E., and M. G. Anderson. Evaluation of Deterministic Models for Near Surface Soil Moisture Prediction. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada196271.
Full textApostolatos, A., R. Rossi, and C. Soriano. D7.2 Finalization of "deterministic" verification and validation tests. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.006.
Full textHunt, G., and Y. Y. Azmy. Graphics development of DCOR: Deterministic combat model of Oak Ridge. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/10184802.
Full textRay, A., N. Symington, Y. Ley-Cooper, and R. C. Brodie. A quantitative Bayesian approach for selecting a deterministic AEM inversion model. Geoscience Australia, 2020. http://dx.doi.org/10.11636/133626.
Full textAntolak, Arlyn. Deterministic Model for Neutron-Induced heating in Metal Foils Containing 3He. Office of Scientific and Technical Information (OSTI), September 2001. http://dx.doi.org/10.2172/787894.
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