Dissertations / Theses on the topic 'Expert System Shell'
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Sachdev, Sharad. "Temporal expert system shell." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ33826.pdf.
Full textBradshaw, John. "The P.R.O. expert system shell." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1006302.
Full textKMBT_363
Adobe Acrobat 9.53 Paper Capture Plug-in
St, Jacques Robert J. "XESS : the XML expert system shell /." Online version of thesis, 2008. http://hdl.handle.net/1850/7518.
Full textSalim, Juliani Susanti. "An expert system shell for processing logic grammars." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/24912.
Full textScience, Faculty of
Computer Science, Department of
Graduate
Kollu, Kavya. "PROTOTYPE OF AN INTELLIGENT TUTORING SYSTEM USING THE JAVA EXPERT SYSTEM SHELL." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/118314.
Full textM.S.E.
In a technology driven world, efforts are being made to make education/learning available to individuals at any time with no compromise in the quality of teaching/training. To make learning flexible, different techniques such as distributing learning material, uploading audio lectures on the web, and creating intelligent tutoring systems (ITS) are being used. The technique considered here is an adaptive ITS, a system that replicates the learning that occurs in a student teacher relationship. This thesis develops an adaptive intelligent tutoring system architecture prototype where the addition, modification and removal of educational material are relatively easy. The resulting software will take into account: the goals of the specific educational experience, the concepts to be covered, the preferred learning style of the student, measures to detect misuse of the system functionality, behavior based on the student's performance and the generation of hint sequences and feedback messages to improve learning gain. The system will accomplish these objectives by assessing the student's prior knowledge level, observing the actions performed by the student and by adapting to his/her learning abilities. The ITS will attempt to be more intelligent by performing some actions traditionally done by a human teacher - such as diagnosing misconceptions, identifying the most suitable learning style, stressing concepts that the student is finding difficult to understand, switching back to the learning material if the student shows no improvement after a set of trials. The system makes sure that the student is getting feedback where appropriate. Using this prototype system, the student will be tutored to acquire declarative knowledge. A problem based learning (PBL) approach will be used to strengthen the acquired knowledge by providing a high degree of personal attention to the student. To show how the prototype system works, an example of analysis of a control system problem using bode plot technique will be used to assist the student in using the technique to perform the stability analysis of an analog, linear, time-invariant control system problems and to recommend a controller to attain stability (if the system is not stable). Ideas of porting the system from standalone to web-based architecture and features required for collaborative learning will be discussed and an architecture for a web-based tutoring system for supporting multiple students enabling communication between students and sharing data among them will be proposed.
Temple University--Theses
Mahmoud, Shaiba Hussan Ibrahim. "A hybrid expert system shell for woven fabric engineering design." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499844.
Full textHuang, Yueh-Min 1960. "Building an expert system shell for design model synthesis in logic programming." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276597.
Full textSwaan, Arons Henk de. "Delfi design, development and applicability of expert system shells /." Delft : Delft University Press, 1991. http://books.google.com/books?id=2NZQAAAAMAAJ.
Full textSummary and vita in Dutch and English; "stellingen" in Dutch. "Stellingen" inserted. Includes bibliographical references (p. 227-252) and index.
Jacobson, Guy. "The development of an expert system shell with a mixed knowledge representation, explicit control of reasoning and a truth maintenance system." Master's thesis, University of Cape Town, 1988. http://hdl.handle.net/11427/15897.
Full textThis thesis concentrates on several important issues in expert system research, namely - representation of knowledge - control of reasoning - implementation of non-monotonic logics via truth maintenance systems. There are three parts to this thesis. PART1 covers the background research in the above mentioned topics. PART2 discusses the WISE system and the way in which research from PART1 was applied to the development of the WISE shell. PART3 considers the features of other expert system shells.
Shesham, Sriharsha. "Integrating Expert System and Geographic Information System for Spatial Decision Making." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1216.
Full textDunskus, Bertram V. "Single Function Agents and their Negotiation Behavior in Expert Systems." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/1079.
Full textSahebkar, Khorasani Elham Sahebkar. "FORMALIZATION AND IMPLEMENTATION OF GENERALIZED CONSTRAINT LANGUAGE FOR REALIZATION OF COMPUTING WITH WORDS." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/592.
Full textBarreto, Linara Souza da Costa. "Shell para desenvolvimento de sistemas especialistas na área de saúde." Universidade Federal do Amazonas, 2007. http://tede.ufam.edu.br/handle/tede/4467.
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CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
The expert systems are computational tools built from argument of strong methods in artificial intelligence. This argument states that the resolution of complex problems is only possible when specific knowledge of the nature of the problem to be solved is known. The construction of expert systems in addition to be a very complex task involves a precious expenditure of time. Due to this, there are tolls called Shell that allow rapid prototyping of an expert system, demonstrating or not the viability of a Integral System construction. In this work, the main concern was to develop a Shell that was used with priority, but not exclusively, to diagnosis applications in medicine. In this sense, the system has been provided with the ability to handle linguistic data, data like image and numeric interval data (expressed by ranges of values: a x b). The possibility of working with numerical interval data and with multivalued variables is the main difference between Shell proposed in this work compared to other publications found in literature. In order to be possible to deal with interval data, a specific inference algorithm that incorporates an unification algorithm was developed. It has been given to the system the treatment of uncertainty through certainty factors. There is the possibility of working with multiples targets simultaneously. In the results, an original system was developed for atherosclerosis diagnostics that uses rules with interval variables and a system for AIDS treatment that uses multivalued variables. Moreover, the uncertainty treatment in the Shell proposed is compared with the uncertainty treatment in two other systems nationally developed. As a conclusion, the great application of the proposed system is highlighted, which allows the diagnosis in areas so varied that ranges from radiology to laboratory diagnosis.
Os sistemas especialistas são ferramentas computacionais construídas a partir do argumento dos métodos fortes em inteligência artificial. Esse argumento afirma que a resolução de problemas complexos só é possível quando se dispõem de conhecimentos específicos sobre a natureza do problema a ser resolvido. A construção dos sistemas especialistas, além de ser uma tarefa assaz complexa, envolve o dispêndio de tempo. Devido a isso, dispõe-se de ferramentas denominadas de Núcleo de Sistemas Especialistas (NSE) ou Shell, que permitem a prototipagem rápida de um Sistema Especialista, demonstrando ou não a viabilidade da construção de um Sistema Integral. Neste trabalho, a principal preocupação foi desenvolver um NSE que fosse utilizado de forma prioritária, mas não exclusiva, para aplicações diagnósticas em medicina. Nesse sentido, dotou-se o sistema da capacidade de lidar com dados literais, dados tipo imagem e dados numéricos intervalares (dados expressos por meio de faixas de valores: a x b). A possibilidade de trabalhar com dados numéricos intervalares e com variáveis multivaloradas é o principal diferencial entre o NSE proposto neste trabalho em relação a outras publicações. Para tornar possível o tratamento de dados intervalares, desenvolveu-se um algoritmo de inferência próprio que incorpora algoritmo de unificação também original. Dotou-se o sistema de um tratamento da incerteza por meio de fatores de certeza. Existe a possibilidade de trabalhar-se com múltiplas metas simultaneamente. Nos resultados, desenvolveu-se um sistema original para diagnóstico da aterosclerose que utiliza regras com variáveis intervalares, um sistema para tratamento da AIDS que utiliza variáveis multivaloradas. Compara-se, outrossim, o tratamento da incerteza no NSE proposto com o tratamento da incerteza em outros dois sistemas desenvolvidos nacionalmente. Como conclusão, destaca-se o amplo espectro de aplicações do sistema proposto, que permite o diagnóstico em áreas tão variadas que vão desde a radiologia à diagnóstico com dados laboratoriais.
Bueno, Tatiane de Jesus. "ANÁLISE DE RISCO DE CRÉDITO BANCÁRIO COM UTILIZAÇÃO DA SHELL DE SISTEMA ESPECIALISTA PROBABILÍSTICO SPIRIT." Universidade Federal de Santa Maria, 2011. http://repositorio.ufsm.br/handle/1/8201.
Full textO objetivo desta dissertação é estruturar um sistema especialista probabilístico com utilização da Shell Spirit para avaliar o risco de inadimplência de tomadores de crédito em uma instituição financeira ou de reduzir o risco que ele representa. O estudo foi limitado a pessoas físicas, uma vez que, as variáveis utilizadas para a análise de risco na concessão de créditos se diferem das pessoas jurídicas e, também, pelo fato de esta ser uma área menos explorada pelos acadêmicos. A metodologia aplicada foi inserida no contexto de uma pesquisa empírica quantitativa, na qual se buscou aproximar o máximo possível o modelo elaborado à realidade. Contudo, nesta etapa foi necessário coletar informações internas da instituição utilizada para o estudo, referentes à análise de riscos, políticas de crédito, perfis de tomadores, bem como extrair conhecimentos de especialistas com a finalidade de selecionar as variáveis relevantes para o sistema e de fazer a interação destas ao compor regras juntamente com a definição dos seus pesos. Consecutivo à conclusão do modelo, ocorreram testes de algumas situações favoráveis e/ou desfavoráveis a concessão de créditos, considerando que nesta fase foram instanciadas as variáveis pertinentes a cada situação em questão. O sistema é capaz de gerenciar e reduzir os riscos de crédito de instituição bancária, pois o SPIRIT trabalha com incertezas e manipula dados, sendo alimentado com informações que indiquem a probabilidade de inadimplência não . Os resultados obtidos com os testes foram satisfatórios à medida que estes possibilitaram identificar a probabilidade de um tomador de crédito vir a torna-se um não inadimplente ou de reduzir o risco, antes mesmo da liberação do crédito.
Brotto, Osvaldo César. "UM SISTEMA ESPECIALISTA PROBABILÍSTICO DE AVALIAÇÃO DE SUCESSO NA ABERTURA DE NOVOS NEGÓCIOS." Universidade Federal de Santa Maria, 2009. http://repositorio.ufsm.br/handle/1/8131.
Full textO Brasil está entre os países mais empreendedores do mundo, mas as taxas de mortalidade dos pequenos negócios são altas. Com intensos níveis de competição entre as empresas, cada vez mais é necessário os empreendedores conhecerem suas competências e possibilidades para se estabelecer com sucesso. No ambiente dos pequenos negócios os donos e as empresas estão umbilicalmente ligados, sendo impossível avaliar as causas de sucesso ou insucesso dos negócios sem fazer um mergulho na vida pessoal do empreendedor. Diferentemente das grandes corporações, com acionistas e gestores profissionais, nas pequenas empresas esses papéis são exercidos pela mesma pessoa. Para ter um perfil adequado é necessário conhecê-los em aspectos como organização pessoal, rede de contatos, disponibilidade financeira, formação acadêmica, conhecimentos do setor, experiências anteriores, motivação, saúde e tempo disponível, entre outras variáveis definidas por especialistas como importantes para o sucesso nos negócios. Através do uso da Shell Spirit foi possível quantificar variáveis, estabelecer regras e desenvolver um sistema especialista probabilístico de avaliação de sucesso na abertura de novos negócios. Os resultados, que representam as tendências de sucesso dos futuros negócios analisados, foram segmentados em escalas, variando de 1% até 98% em média. A ferramenta é flexível e além de permitir a avaliação individual do empreendedor e quais os impactos individuais de cada variável no resultado final, auxilia-os na tomada de decisão quando da elaboração do plano de negócios.
Collins, Gary Wayne. "Information communication technology as a cognitive tool to facilitate higher-order thinking." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/24075.
Full text- initial exposure;
- guided discovery learning;
- designing the expert system on paper;
- creating domain awareness;
- linking conceptual understanding to a representation of that understanding;
- hands-on development; and
- problem engagement.
Thesis (PhD)--University of Pretoria, 2012.
Science, Mathematics and Technology Education
unrestricted
Lee, Newton Saiyuen. "GUESS/1: a general purpose expert systems shell." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/76038.
Full textMaster of Science
Tomski, Thomas. "The design of shell-and-tube heat exchangers using expert systems." Thesis, University of Brighton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314803.
Full textAmjad, Fahd. "Approche ontologie pour l'intégration des entreprises distribuées." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0334/document.
Full textIn this thesis, we have provided a complete review of the semantic web technologies and their corresponding utility in the current environment for small to medium sized enterprise (MSE). The traditional approaches to enterprise integration favour large enterprise entities and force contractual limitations on smaller partners, but at the same time the pressure to guard the individual enterprise competence is ever increasing, the distributed enterprise (MSE) in such an environment have limited number of choices, which forces them to make strategic decisions and enter into a long term agreements with their partners and this limits their flexibility to the market changes. We, in this thesis, propose a semantic web based ontology approach for integrating the information as well as physical resource of the distributed enterprise. This web based approach acts as a decision support for better resources utility as well as distributed information integration. The work related to web ontology?s for information integration is not new, but the approach proposed in this thesis for distributed enterprise is an added value. Similarly, we have also proposed semantic web ontology as a configuration system to manage the distributed resources of the virtual enterprise, for this we have modelled OWL-DL ontology on the semantic of the industrial integration standard ISA-95, and subsequently used this ontology artefact as a configuration artefact to manage the distributed virtual enterprise material and equipment resources this is the main proposition of the thesis of utilizing semantic web ontology as resource configuration decision support
Valley, Karen. "The use of expert system shells in education : an explanation-based approach." Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/20258.
Full textStauffer, Scott T. "Expert system shells in chemistry : CHIRULE, a chiral chromatographic column selection system using similarity searching and personal construct theory /." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-10042006-143845/.
Full textVita. Abstract. Vol. 2 is appendices. Includes bibliographical references (leaves 327-337). Also available via the Internet.
Horne, Susan Elaine. "A Seasonal Shelf Space Reorder Model Decision Support System." Kent State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=kent1291086889.
Full textSmith, Lucy Michelle. "Development of a structured design and programming methodology for expert system shells utilizing a visual programming language : application of structured methodology to the MK92 Maintenance Advisor Expert System, Performance module prototype." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA289897.
Full textThesis advisor(s): Magdi Kamel, Martin J. McCaffrey. "September 1994." Bibliography: p. 144-145. Also available online.
Ulug, Fikret. "EMYCIN-PROLOG expert system shell." Thesis, 1986. http://hdl.handle.net/10945/21823.
Full textChou, Hung Sen, and 周宏昇. "VESS:A Versatile Expert System Shell." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/58258840586096957710.
Full textYU, ZHI-XING, and 喻知行. "An experimental hybrid expert system shell design." Thesis, 1987. http://ndltd.ncl.edu.tw/handle/63483483853735418251.
Full textChiou, Ho-Yuan, and 邱和源. "An Expert System Shell for Configuration Design of Mechanical Systems." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/49199928051594581185.
Full text國立臺灣大學
機械工程學系
85
This thesis uses the technology of artificial intelligence and expert system to build an expert system shell suitable for configuration design of mechanical systems. First, the composition relationships between system components are obtained through applying a decomposition process on the mechanical system, and these relationships are represented in a semantic network. Then, the design data of system components was modeled by the frame-based knowledge representation method. Because of the inheritance nature of the frame-based representation method, hierarchical relationships between components can be established. In order to do the actual design work, such as selection of a component from its component library, satisfying design requirements and determination of design parameters, a constraint representation algorithm and a constraint satisfaction process was developed. After the configuration design of a mechanical system is completed, a 3D solid model of the system will be constructed by an interface program between the developed expert system and the AutoCAD software. In order to prove the functions of this expert system shell, several commonly used mechanical components and systems are chosen as examples and results are great.
Els, Dirk Udo. "Using an off-the-shelf shell to develop an income tax expert system." Thesis, 2015. http://hdl.handle.net/10539/16634.
Full textWANG, XIAN-WEN, and 王獻文. "A study on shell-and-tube exchanger expert system." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/38553972612412437374.
Full text"An Object-oriented expert system shell with image diagnosis." Chinese University of Hong Kong, 1991. http://library.cuhk.edu.hk/record=b5886899.
Full textThesis (M.Phil.)--Chinese University of Hong Kong.
Bibliography: leaves R. 1-6.
ACKNOWLEDGEMENTS
ABSTRACT
TABLE OF CONTENTS
Chapter CHAPTER 1. --- OVERVIEWS --- p.1.1
Chapter 1.1 --- Introduction --- p.1.1
Chapter 1.2 --- Image Understanding and Artificial Intelligence --- p.1.3
Chapter 1.3 --- Object-Oriented Programming and Artificial Intelligence --- p.1.6
Chapter 1.4 --- Related Works --- p.1.8
Chapter 1.5 --- Discussions and Outlines --- p.1.9
Chapter CHAPTER 2. --- OBJECT-ORIENTED SOFTWARE SYSTEMS --- p.2.1
Chapter 2.1 --- Introduction --- p.2.1
Chapter 2.2 --- Traditional Software Systems --- p.2.1
Chapter 2.3 --- Object-Oriented Software Systems --- p.2.2
Chapter 2.4 --- Characteristics of an Object-Oriented Systems --- p.2.4
Chapter 2.5 --- Knowledge Representation in Image Recognition --- p.2.9
Chapter 2.5.1 --- Rule-Based System --- p.2.10
Chapter 2.5.2 --- Structured Objects --- p.2.12
Chapter 2.5.3 --- Object-Oriented Knowledge Management --- p.2.13
Chapter 2.5.4 --- Object-Oriented Expert System Building Tools --- p.2.14
Chapter 2.6 --- Concluding Remarks --- p.2.16
Chapter CHAPTER 3. --- SYSTEM DESIGN AND ARCHITECTURE --- p.3.1
Chapter 3.1 --- Introduction --- p.3.1
Chapter 3.2 --- Inheritance and Recognition --- p.3.2
Chapter 3.3 --- System Design --- p.3.9
Chapter 3.4 --- System Architecture --- p.3.11
Chapter 3.4.1 --- The Low Level Vision Kernel --- p.3.14
Chapter 3.4.2 --- The High Level Vision Kernel --- p.3.15
Chapter 3.4.3 --- User Consultation Kernel --- p.3.17
Chapter 3.5 --- Structure of the Image Object Model --- p.3.17
Chapter 3.5.1 --- Image Object Model in Object-Oriented Form --- p.3.19
Chapter 3.5.2 --- Image Objects Hierarchy --- p.3.23
Chapter 3.6 --- Reasoning in OOI --- p.3.26
Chapter 3.7 --- Concluding Remarks --- p.3.27
Chapter CHAPTER 4. --- CONTROL AND STRATEGIES --- p.4.1
Chapter 4.1 --- Introduction --- p.4.1
Chapter 4.2 --- Consultation Class Objects --- p.4.4
Chapter 4.2.1 --- Audience --- p.4.5
Chapter 4.2.2 --- Intrinsic Hypothesis (IH_object) --- p.4.5
Chapter 4.2.3 --- Priority Table (PT_object) --- p.4.6
Chapter 4.3 --- Operation Objects --- p.4.7
Chapter 4.3.1 --- Scheme Scheduler (SS一object) --- p.4.7
Chapter 4.3.2 --- Task Scheduler (TS_object) --- p.4.7
Chapter 4.4 --- Taxonomy of Image Objects in OOI --- p.4.8
Chapter 4.4.1 --- Object Template --- p.4.8
Chapter 4.4.2 --- Attributes --- p.4.9
Chapter 4.4.3 --- Tasks and Life Cycles --- p.4.9
Chapter 4.4.4 --- Object Security --- p.4.10
Chapter 4.5 --- Message Passing --- p.4.11
Chapter 4.6 --- Strategies --- p.4.12
Chapter 4.6.1 --- The Bottom-Up Approach --- p.4.15
Chapter 4.6.2 --- The Top-Down Approach --- p.4.18
Chapter 4.7 --- Concluding Remarks --- p.4.19
Chapter CHAPTER 5. --- IMAGE PROCESSING ALGORITHMS --- p.5.1
Chapter 5.1 --- Introduction --- p.5.1
Chapter 5.2 --- Image Enhancement --- p.5.2
Chapter 5.2.1 --- Spatial Filtering --- p.5.2
Chapter 5.2.2 --- Feature Enhancement --- p.5.5
Chapter 5.3 --- Pixel Classification --- p.5-7
Chapter 5.4 --- Edge Detection Methods --- p.5.9
Chapter 5.4.1 --- Local Gradient Operators --- p.5.9
Chapter 5.4.2 --- Zero Crossing Method --- p.5.12
Chapter 5.5 --- Regional Approaches in Segmentation --- p.5.13
Chapter 5.5.1 --- Multi-level Threshold Method --- p.5.13
Chapter 5.5.2 --- Region Growing --- p.5.15
Chapter 5.6 --- Image Processing Techniques in Medical Domain --- p.5.17
Chapter 5.7 --- Concluding Remarks --- p.5.18
Chapter CHAPTER 6. --- PICTORIAL DATA MANAGEMENT IN OOI --- p.6.1
Chapter 6.1 --- Introduction --- p.6.1
Chapter 6.2 --- Description of Basic Properties --- p.6.1
Chapter 6.3 --- Description of Relations --- p.6.7
Chapter 6.3.1 --- Relational Database of Pictorial Data --- p.6.7
Chapter 6.3.2 --- Relational Graphs and Relational Databases --- p.6.10
Chapter 6.4 --- Access Functions in Image Objects --- p.6.14
Chapter 6.4.1 --- Basic Access Functions --- p.6.14
Chapter 6.4.2 --- User Accessible Functions in Objects --- p.6.15
Chapter 6.5 --- Image Functions --- p.6.16
Chapter 6.5.1 --- Unary Image operations --- p.6.16
Chapter 6.5.2 --- Binary Relation Operations --- p.6.19
Chapter 6.5.3 --- Update Operations --- p.6.20
Chapter 6.6 --- Concluding Remarks --- p.6.21
Chapter CHAPTER 7. --- KNOWLEDGE MANAGEMENT --- p.7.1
Chapter 7.1 --- Introduction --- p.7.1
Chapter 7.2 --- Knowledge in A Domain Knowledge Base --- p.7.1
Chapter 7.2.1 --- Structure of Rules --- p.7.2
Chapter 7.2.2 --- Hypothesis Generation --- p.7.6
Chapter 7.2.3 --- Inference Engine --- p.7.8
Chapter 7.3 --- Model Based Reasoning in OOI --- p.7.9
Chapter 7.3.1 --- Merging and Labelling --- p.7.9
Chapter 7.3.2 --- Vision Model --- p.7.11
Chapter 7.4 --- Fuzzy Reasoning --- p.7.12
Chapter 7.5 --- Concluding Remarks --- p.7.15
Chapter CHAPTER 8. --- KNOWLEDGE ACQUISITION AND USER INTERFACES --- p.8.1
Chapter 8.1 --- Introduction --- p.8.1
Chapter 8.2 --- Knowledge Acquisition Subsystem --- p.8.3
Chapter 8.2.1 --- Rule Management Module --- p.8.3
Chapter 8.2.2 --- Attribute Management Module --- p.8.4
Chapter 8.2.3 --- Model Management Module --- p.8.8
Chapter 8.2.4 --- Methods of Knowledge Encoding and Acquisition --- p.8.9
Chapter 8.3 --- User Interface in OOI --- p.8.11
Chapter 8.3.1 --- Screen Layout --- p.8.13
Chapter 8.3.2 --- Menus and Options --- p.8.15
Chapter 8.4 --- Concluding Remarks --- p.8.20
Chapter CHAPTER 9. --- IMPLEMENTATION AND RESULTS --- p.9.1
Chapter 9.1 --- Introduction --- p.9.1
Chapter 9.2 --- Using Expanded Memory --- p.9.2
Chapter 9.3 --- ESCUM --- p.9.3
Chapter 9.3.1 --- General Description --- p.9.3
Chapter 9.3.2 --- Cervical Intraepithelial Neoplasia (CIN) --- p.9.4
Chapter 9.3.3 --- Development of ESCUM --- p.9.5
Chapter 9.4 --- Results --- p.9.12
Chapter 9.5 --- Concluding Remarks --- p.9.13
Chapter CHAPTER 10. --- CONCLUSION --- p.10.1
Chapter 10.1 --- Summary --- p.10.1
Chapter 10.2 --- Areas of Future Work --- p.10.5
Chapter APPENDIX A. --- Rule Base of ESCUM --- p.A1
Chapter APPENDIX B. --- Glossary for Objected-Oriented Programming --- p.B1
REFERENCES --- p.R1
Kang, Alan Montzy. "A real-time expert system shell for process control." Thesis, 1990. https://hdl.handle.net/10539/25920.
Full textA multi-layered expert system shell that specifically addresses real-time issues is designed and implemented. The architecture of this expert system shell supports the concepts of parallelism, concurrent computation and competitive reasoning in that it allows several alternatives to be explored simultaneously. An inference engine driven by a hybrid of forward and backward chanining methods is used to achieve real-time response, and certainty factors are used for uncertainty management. Real-time responsiveness is improved by allowing the coexistence of procedural and declarative knowledge within the same system. A test bed that was set up in order to investigate the performance of the implemented shell is described. It was found in the performance analysis that the proposed system meets the real-time requirements as specified in this research.
Andrew Chakane 2018
WU, KUN-XIANG, and 吳坤祥. "Design and application of PC-based shell of expert system." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/20648699254490073733.
Full textWANG, JYH-HORNG, and 王志宏. "An Object-Oriented Expert System Shell for Mechanical Assembly Design." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/87032036937316665568.
Full text國立臺灣大學
機械工程學系
86
This thesis uses the concepts of Object-Oriented Methodology to develop an expert system shell for assembly design of mechanical systems. First, an object-oriented knowledge representation method is defined for representing the necessary design data and design parameters for a mechanical assembly, then the connective relationships between mechanical components are established by the concepts of semantic network. A constraint representation format is developed to represent the design constraints between components of the system. Finally, an expert system shell is developed for operation and management of the knowledge base. After the initial data for the system are specified, assembly parameters for all feasible solutions can be found through the inference engine by satisfying the design constraint. The solid model of the assembly design for any feasible solution can be automatically generated in AutoCAD software. The detail design process of some demonstrative examples are included to show the capability of the developed expert system shell. The design process of two real machines are also included. It shows that the developed expert system shell can handle the assembly design easily and effectively.
Liou, Kae-Yuh, and 劉凱玉. "The Research of Expert System Shell for Search Target on Sea." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/68946919635953726499.
Full text"An integrative fuzzy expert system shell based on structured knowledge: an object oriented approach." Chinese University of Hong Kong, 1989. http://library.cuhk.edu.hk/record=b5886140.
Full textLU, XIN-XING, and 盧信行. "Implementation of an expert system shell integrating frames with rules:using object-oriented approach." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/04260662389954067255.
Full textXIN, HONG-YI, and 辛弘毅. "eveolping a expert system shell to diagnose high school students'' conceptual structures on simple D.C. circuits." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/69091528735931343068.
Full textYE, YAN-SEN, and 葉元森. "A microcomputer based general purpose shell for developing medical expert system and its application to orthopedic diagnosis." Thesis, 1988. http://ndltd.ncl.edu.tw/handle/16204521457822545032.
Full textΤσιμάρα, Μαρία. "Δημιουργία ευφυούς συστήματος διάγνωσης παθήσεων του προστάτη." Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/2960.
Full textDuring making this project our concern was the creation of a new expert system for diagnosis prostate disease depending on the clinical status of a patient as these are identified during medical examination. The main points were as follows: First has been constructed a diagnosis process model which was followed by the diagnosis for the most common prostate diseases. Secondly was implemented extracting of the medical knowledge based on specialists or/and experimental data. The whole process and the medical Knowledge will be developed using hybrid methods of representation and having the partcipation of such saying fuzziness or inaccuracy, that is innate in that kind of intelligent decision-support. The new intelligent system is already accommodated on a hospital server and is used as a decision-support system, as well as an e-learning platform for medical students. For the implementation of the new system have been used an expert system shell and knowledge engineering tools.