Academic literature on the topic 'Rule modelling'
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Journal articles on the topic "Rule modelling"
G, Manju. "Rule-based Cognitive Modelling for Multimodal Intelligent Tutoring Systems." International Journal of Psychosocial Rehabilitation 24, no. 1 (January 20, 2020): 1754–60. http://dx.doi.org/10.37200/ijpr/v24i1/pr200275.
Full textBellet, Thomas, Agnès Arnould, and Pascale Le Gall. "Rule-based transformations for geometric modelling." Electronic Proceedings in Theoretical Computer Science 48 (February 11, 2011): 20–37. http://dx.doi.org/10.4204/eptcs.48.5.
Full textHarmer, Russ. "Rule-based Modelling and Tunable Resolution." Electronic Proceedings in Theoretical Computer Science 9 (November 15, 2009): 65–72. http://dx.doi.org/10.4204/eptcs.9.8.
Full textZhu, Z. Y., M. S. Johnson, H. Wako, R. Sowdhamini, N. Srinivasan, K. Guruprasad, Z. Sun, et al. "Rule-based approaches to comparative modelling." Acta Crystallographica Section A Foundations of Crystallography 49, s1 (August 21, 1993): c149. http://dx.doi.org/10.1107/s0108767378095756.
Full textBie, Zujie, Qi Han, Chao Liu, Junjian Huang, Lepeng Song, and Yangjun Pei. "Chaotic Behavior of One-Dimensional Cellular Automata Rule 24." Discrete Dynamics in Nature and Society 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/304297.
Full textCiancarini, Paolo. "An overview of declarative process modelling using logic programming." Knowledge Engineering Review 11, no. 4 (December 1996): 303–16. http://dx.doi.org/10.1017/s0269888900008006.
Full textCHAKRABORTY, CHANDAN, and DEBJANI CHAKRABORTY. "FUZZY LINEAR AND POLYNOMIAL REGRESSION MODELLING OF ‘IF-THEN’ FUZZY RULEBASE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16, no. 02 (April 2008): 219–32. http://dx.doi.org/10.1142/s0218488508005145.
Full textHämarik, Uno, and Reimo Palm. "ON RULES FOR STOPPING THE CONJUGATE GRADIENT TYPE METHODS IN ILL‐POSED PROBLEMS." Mathematical Modelling and Analysis 12, no. 1 (March 31, 2007): 61–70. http://dx.doi.org/10.3846/1392-6292.2007.12.61-70.
Full textKácsor, Enikő. "Modelling Bidding Behaviour on German Photovoltaic Auctions." Energies 14, no. 2 (January 19, 2021): 516. http://dx.doi.org/10.3390/en14020516.
Full textRush, Jamie. "MODELLING STATE-CONTINGENT FISCAL RULES IN THE UNITED KINGDOM." National Institute Economic Review 254 (November 2020): R41—R53. http://dx.doi.org/10.1017/nie.2020.40.
Full textDissertations / Theses on the topic "Rule modelling"
Honorato-Zimmer, Ricardo. "On a thermodynamic approach to biomolecular interaction networks." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28904.
Full textMcIntosh, Brian S. "Rule-based modelling of vegetation dynamics." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/12619.
Full textArabikhan, Farzad. "Telecommuting choice modelling using fuzzy rule based networks." Thesis, University of Portsmouth, 2017. https://researchportal.port.ac.uk/portal/en/theses/telecommuting-choice-modelling-using-fuzzy-rule-based-networks(b088b779-8daa-441e-b0a0-7c9641e1f08b).html.
Full textBhanthumnavin, Kanyarat. "Macroeconomic modelling and monetary policy rule optimization for Thailand." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416531.
Full textLivesey, Gillian Elizabeth. "Advancing egress complexity in support of rule-based evacuation modelling." Thesis, University of Ulster, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288821.
Full textWijesekera, Dhammika Harindra, and n/a. "A form based meta-schema for information and knowledge elicitation." Swinburne University of Technology, 2006. http://adt.lib.swin.edu.au./public/adt-VSWT20060904.123024.
Full textWilson-Kanamori, John Roger. "Defining complex rule-based models in space and over time." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/11687.
Full textCosta, Jutglar Gonçal. "Integration of building product data with BIM modelling: a semantic-based product catalogue and rule checking system." Doctoral thesis, Universitat Ramon Llull, 2017. http://hdl.handle.net/10803/450865.
Full textEn la industria AEC (Arquitectura, Ingeniería, Construcción), es cada vez más necesario automatizar el intercambio de información en los procesos en los que interviene la tecnología BIM (Building Information Modelling). Los expertos que participan en estos procesos (arquitectos, ingenieros, constructores, etc.) utilizan diferentes tipos de aplicaciones para llevar a cabo tareas específicas de acuerdo a su ámbito de conocimiento y su responsabilidad. Aunque cada una de estas aplicaciones, separadamente, cumple su función, la interoperabilidad entre ellas sigue siendo un problema a resolver. En estos procesos se requiere acceder a datos de fuentes diversas y distintos formatos, para integrarlos y hacerlos accesibles a las aplicaciones BIM. En esta tesis se investigan las dificultades que subyacen en estos dos ámbitos –la interoperabilidad entre aplicaciones y la integración de información de múltiple fuentes y formatos en el contexto de los procesos basados en tecnologías BIM– y se proponen soluciones para superarlas. En primer lugar, se han examinado las ineficiencias que actualmente existen en el intercambio de información entre sistemas y aplicaciones utilizados en proyectos AEC que emplean la tecnología BIM. Una vez identificadas, se plantea su superación a través de la aplicación de tecnologías de la Web Semántica. Para ello, se analiza la capacidad de estas tecnologías para integrar datos heterogéneos de diferentes fuentes y ámbitos mediante ontologías. Finalmente, se considera su aplicación en el desarrollo de proyectos AEC. A partir de este estudio previo, se ha podido concluir que las soluciones para mejorar la interoperabilidad entre BIM y otras aplicaciones a partir de las tecnologías semánticas están lejos de proporcionar una solución definitiva al problema de la interoperabilidad. Con el fin de proponer soluciones basadas en la Web Semántica para la integración de datos en procesos en los que intervienen las tecnologías BIM, se ha acotado la investigación a un caso de estudio: la creación de un catálogo de componentes prefabricados de hormigón con tecnologías de la Web Semántica y compatible con la tecnología BIM. En el contexto de este caso de estudio se han desarrollado métodos y herramientas para: 1) integrar datos de componentes y productos constructivos en un catálogo con contenido semántico accesible a aplicaciones BIM, y 2) aplicar reglas de inferencia semántica para examinar los componentes incluidos en un modelo BIM y proporcionar productos compatibles extraídos del catálogo. La viabilidad de los métodos y herramientas se ha demostrado en un caso de aplicación: pre-dimensionado de elementos constructivos que cumplen las normativas de seguridad estructural y búsqueda automatizada de componentes alternativos en el catálogo. A pesar de demostrar el beneficio potencial de las tecnologías de la Web Semántica para mejorar los procesos BIM integrando datos externos, todavía hay algunos retos a superar, entre ellos, la escasez de datos en formato RDF y la dificultad en mantener los enlaces entre datos cuando estos cambian. Los resultados obtenidos en esta investigación podrían continuar desarrollándose en dos direcciones: 1) ampliando el catálogo a nuevos productos e incorporando nuevas fuentes de datos relacionadas con los mismos y 2) creando herramientas que faciliten la creación y el mantenimiento de reglas de inferencia.
In the AEC industry (Architecture, Engineering, Construction), it is increasingly necessary to automate the exchange of information in processes involving BIM (Building Information Modelling) technology. The experts involved in these processes (architects, engineers, builders, etc.) use different types of applications to carry out specific tasks according to their scope of knowledge and their responsibility. Although each of these applications separately fulfils its function, interoperability between them remains a problem to be solved. In these processes it is also necessary to access data from different sources and different formats to integrate them and make them accessible to BIM applications. This research investigates the difficulties that underlie these two problems – interoperability between applications and the integration of information in the context of processes based on BIM technologies – and propose solutions to overcome them. In the first place, the inefficiencies that currently exist in the exchange of information between systems and applications used in AEC projects using BIM technology have been examined. Once identified, our objective has been to overcome them through the application of Semantic Web technologies. To do this, the ability of these technologies to integrate heterogeneous data from different sources and domains using ontologies is analysed. Finally, we considered their application in the development of AEC projects. From this previous study, it has been concluded that developed solutions to improve interoperability between BIM and other applications using semantic technologies are still far from providing a definitive solution to the problem of interoperability. In order to propose solutions based on the Semantic Web for the integration of data in processes involving BIM technologies, the research has been limited to a case study: the creation of a catalogue of precast concrete components with semantic technologies which are compatible with BIM technology. In the context of this case study, we have developed methods and tools to (1) integrate data on components and constructive products in a catalogue with semantic content compatible with BIM technology, and (2) apply the rules of semantic inference to examine the components used on a BIM model and provide compatible products extracted from the catalogue. The feasibility of the methods and tools has been demonstrated in an application case: pre-dimensioned structural elements that comply with structural safety regulations and the automated search of alternative components in the catalogue. Despite demonstrating the potential of Semantic Web technologies to improve BIM processes by integrating external data, there are still some challenges to overcome, including the shortage of data in RDF format and the difficulty in the maintenance of the links between the data when they change. The results obtained in this research could continue to be developed in two directions (1) expanding the catalogue to new products and integrating new data sources related to them and (2) creating tools that facilitate the creation and maintenance of inference rules.
Amdal, Ingunn. "Learning pronunciation variation : A data-driven approach to rule-based lecxicon adaptation for automatic speech recognition." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1560.
Full textTo achieve a robust system the variation seen for different speaking styles must be handled. An investigation of standard automatic speech recognition techniques for different speaking styles showed that lexical modelling using general-purpose variants gave small improvements, but the errors differed compared with using only one canonical pronunciation per word. Modelling the variation using the acoustic models (using context dependency and/or speaker dependent adaptation) gave a significant improvement, but the resulting performance for non-native and spontaneous speech was still far from read speech.
In this dissertation a complete data-driven approach to rule-based lexicon adaptation is presented, where the effect of the acoustic models is incorporated in the rule pruning metric. Reference and alternative transcriptions were aligned by dynamic programming, but with a data-driven method to derive the phone-to-phone substitution costs. The costs were based on the statistical co-occurrence of phones, association strength. Rules for pronunciation variation were derived from this alignment. The rules were pruned using a new metric based on acoustic log likelihood. Well trained acoustic models are capable of modelling much of the variation seen, and using the acoustic log likelihood to assess the pronunciation rules prevents the lexical modelling from adding variation already accounted for as shown for direct pronunciation variation modelling.
For the non-native task data-driven pronunciation modelling by learning pronunciation rules gave a significant performance gain. Acoustic log likelihood rule pruning performed better than rule probability pruning.
For spontaneous dictation the pronunciation variation experiments did not improve the performance. The answer to how to better model the variation for spontaneous speech seems to lie neither in the acoustical nor the lexical modelling. The main differences between read and spontaneous speech are the grammar used and disfluencies like restarts and long pauses. The language model may thus be the best starting point for more research to achieve better performance for this speaking style.
Júnior, Valdemar Lacerda. "Aplicações de técnicas de RMN à determinação estrutural de intermediários sintéticos." Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/59/59138/tde-02102001-115811/.
Full textThe well known W rule, which establishes that nuclei in a planar W arrangement exhibit significant four bond coupling constants, has been a useful tool in molecular structure determination since early times of the use of nmr spectra for this purpose. Many configurations and conformations have been decided based on this rule. The continuous evolution of the nmr equipment, however, produces modifications in quality and number of available experimental data, thus forcing the chemists to frequent revisions of their points of view about the relative importance of the data that can be obtained from nmr spectra. The more recent equipment has a higher resolution and several additional features that throw some shadow over early concepts: on one hand, the high power of modern techniques such as NOE DIFF and other multi-dimensional methods reduce the importance of coupling constants; on the other hand, it is now possible to determine many more coupling constants, due mainly to the higher resolution. A natural consequence is that the chemist can now exploit the use of subtle splittings in conformational analysis. As part of our research work on the synthesis of natural products, we have prepared a number of cyclopentane derivatives. Our attention was strongly attracted to the long-range (4JHH) coupling constants that occurred in some of these compounds, as no planar W conformation seems to be possible in cyclopentanes. We have thus decided to start a more detailed study of the nmr spectra of these compounds, seeking for more clear interpretation of the data. We have first assigned all hydrogens, including the stereochemistry of each hydrogen, and measured all J values for the compounds; for this task we have used nmr spectra both of 1H (300 MHz) and 13C (75 MHz), NOE measurements, etc. Bond angles and dihedral (torsion) angles were calculated with molecular modeling programs; several different programs and methods were used to improve reliability. The first result obtained is a confirmation that a 4JHH 'different' 0 occurs even in cases where a planar W conformation is not possible. More important, however, is the conclusion that there is a correlation between the 4JHH values and the involved dihedral angles. There are two dihedral angles in the path through the bonds between two hydrogens which show 4JHH coupling. When 4JHH values are plotted against(cos2'teta'1 x cos2'teta'2) (a simple extension of Karplus equation) the points are not aligned over a continuous curve, but they show a clear tendency: 4JHH values become higher as the angles 'teta'1 and 'teta'2 vary from 90 to 180º.
Books on the topic "Rule modelling"
Chan, C. P. A comparison of rule modelling languages. Manchester: UMIST, 1993.
Find full textBerry, R. H. Rule induction for data modelling and model interpretation. Norwich: School of Information Systems, University of East Anglia, 1991.
Find full textMalanowski, Stanisław. Modelling phase equilibria: Thermodynamic background and practical tools. New York: Wiley, 1992.
Find full textMarinelli, Vincenzo. Ermeneutica giudiziaria: Modelli e fondamenti. Milano: Giuffrè Editore, 1996.
Find full textYoudeowei, A. P. Capturing and modelling business rules in temporal information systems. Manchester: UMIST, 1993.
Find full textCasti, J. L. Reality rules: Picturing the world in mathematics. New York: Wiley, 1992.
Find full textBratko, Aleksandr. Artificial intelligence, legal system and state functions. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064996.
Full textHagoort, M. J. The neighbourhood rules: Land-use interactions, urban dynamics and cellular automata modelling. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap ; International Geographical Union Section The Netherlands, 2005.
Find full textHagoort, M. J. The neighbourhood rules: Land-use interactions, urban dynamics and cellular automata modelling. Utrecht: Universiteit Utrecht, 2006.
Find full textEastman, Sheila Jane. Modelling the family to make economics relevant to family law: The players and the rules of the game. Toronto: Law and Economics Programme, Faculty of Law, University of Toronto, 1990.
Find full textBook chapters on the topic "Rule modelling"
Angelov, Plamen P. "Modelling Indoor Climate Control Systems." In Evolving Rule-Based Models, 115–67. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1794-2_8.
Full textAngelov, Plamen P. "On-Line Modelling of Fermentation Processes." In Evolving Rule-Based Models, 169–79. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1794-2_9.
Full textPühl, Stefan, and Peter-Wolfgang Gräber. "Rule-based Spatial Query and Production as Part of the WHPA Simulation." In Process Modelling, 545–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60120-0_37.
Full textKiendl, H., M. Krabs, and M. Fritsch. "Rule-Based Modelling of Dynamical Systems." In Analysis and Control of Industrial Processes, 217–31. Wiesbaden: Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-322-88847-1_18.
Full textDanos, Vincent, Jérôme Feret, Walter Fontana, Russ Harmer, and Jean Krivine. "Rule-Based Modelling and Model Perturbation." In Lecture Notes in Computer Science, 116–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04186-0_6.
Full textLawry, Jonathan, Dawei Han, and Ian D. Cluckie. "Fuzzy Rule Generation in Hydrological Modelling." In Soft Methodology and Random Information Systems, 741–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44465-7_92.
Full textWang, Wei. "A Business Rule Modelling Decision Framework." In Integrating Business Process Models and Rules, 73–93. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11809-9_7.
Full textSchlesinger, Markus, and Georg Lörincze. "Rule modelling and simulation in ALFRED." In Lecture Notes in Computer Science, 83–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63516-5_19.
Full textRoß, F., and U. Döring. "A fuzzy-PID-concept with minimal rule set." In System Modelling and Optimization, 279–84. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34897-1_32.
Full textWang, Wei, Sheng Zong, Jian Yu, and Sira Yongchareon. "Modelling Web Service Personalization with Rule Nets." In Web Information Systems Engineering – WISE 2013 Workshops, 228–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54370-8_19.
Full textConference papers on the topic "Rule modelling"
Shquier, Mohammed M. Abu, Mohammed M. Al Nabhan, and Tengku Mohammed Sembok. "Adopting New Rules in Rule-Based Machine Translation." In 2010 12th International Conference on Computer Modelling and Simulation. IEEE, 2010. http://dx.doi.org/10.1109/uksim.2010.20.
Full text"ECA RULE ONTOLOGY - Modelling Prescriptive Rules as Descriptive Ontology." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001277904080415.
Full textChan, Lin Wah, Rene Hexel, and Lian Wen. "Rule-Based Behaviour Engineering: Integrated, Intuitive Formal Rule Modelling." In 2013 22nd Australian Software Engineering Conference (ASWEC). IEEE, 2013. http://dx.doi.org/10.1109/aswec.2013.13.
Full textSomarakis, C. E., and G. P. Papavassilopoulos. "A Dynamic Rule In Cellular Automata." In 22nd Conference on Modelling and Simulation. ECMS, 2008. http://dx.doi.org/10.7148/2008-0164.
Full textShahbaz, M., A. Ali, M. M. Awais, and S. A. Masood. "Dependency Analysis in Coal based Power Plants using Fuzzy Rule System." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.697-101.
Full textNakashima, Tomoharu, and Ashish Ghosh. "Classification Confidence Of Fuzzy Rule-Based Classifiers." In 25th Conference on Modelling and Simulation. ECMS, 2011. http://dx.doi.org/10.7148/2011-0466-0471.
Full textYarahmadi, Ali, Nazanin Moarefi, and Saeed Setayeshi. "Implementing Cellular Automata with Dissimilar Rule on Serial Base." In 2010 European Modelling Symposium (EMS). IEEE, 2010. http://dx.doi.org/10.1109/ems.2010.61.
Full textLotzmann, Ulf, and Ruth Meyer. "DRAMS – A Declarative Rule-Based Agent Modelling System." In 25th Conference on Modelling and Simulation. ECMS, 2011. http://dx.doi.org/10.7148/2011-0077-0083.
Full textChen, Qiming. "A rule-based object/task modelling approach." In the 1986 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/16894.16882.
Full text"RULE BASED MODELLING OF IMAGES SEMANTIC CONCEPTS." In 2nd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002715505400543.
Full textReports on the topic "Rule modelling"
African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.
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