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CBR Adaptation for Chemical Formulation
2001Solution adaptation of previously solved cases to fit new situations is one of the basic tasks of the Case-Based Reasoning (CBR) approach for problem solving. The central issue of the paper is to present a formal computational model for the chemical formulation as innovative adaptation of previously developed products for new scenario and/or ...
Bandini, S, Manzoni, S
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1998
Design research has a number of goals, including a better understanding of design, the development of tools to aid human designers, and the potential automation of some design tasks. Computer-aided design is concerned with using computers to assist in the design process to produce better designs in shorter time.
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Design research has a number of goals, including a better understanding of design, the development of tools to aid human designers, and the potential automation of some design tasks. Computer-aided design is concerned with using computers to assist in the design process to produce better designs in shorter time.
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The CBR-LRI Dataset: Methods, Properties and Potential of Leximetric Coding of Labour Laws
International Journal of Comparative Labour Law and Industrial Relations, 2017Leximetric data coding techniques aim to measure cross-national and inter-temporal variations in the content of legal rules, thereby facilitating statistical analysis of legal systems and their social and economic impacts.
Zoe Adams +3 more
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International Conference on Computers in Education, 2002. Proceedings., 2003
CBR-Tutor is an Internet agent-based tutoring system that uses case-based reasoning approach in providing adaptive instruction to its learners. Cases can quickly recognize whether a teaching strategy is relevant to apply in a given situation. It is composed of four types of agents.
Rhodora L. Reyes, Raymund Sison
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CBR-Tutor is an Internet agent-based tutoring system that uses case-based reasoning approach in providing adaptive instruction to its learners. Cases can quickly recognize whether a teaching strategy is relevant to apply in a given situation. It is composed of four types of agents.
Rhodora L. Reyes, Raymund Sison
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Prediction of soaked CBR of fine-grained soils using soft computing techniques
Multiscale and Multidisciplinary Modeling Experiments and Design, 2022Jitendra Khatti, K. Grover
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1998
There is considerable enthusiasm about Case-Based Reasoning as a means of developing knowledge-based systems. There are two broad reasons for this enthusiasm. First, it is evident that much of human expert competence is experience based and it makes sense to adopt a reuse-based methodology for developing knowledge based systems. The other reason is the
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There is considerable enthusiasm about Case-Based Reasoning as a means of developing knowledge-based systems. There are two broad reasons for this enthusiasm. First, it is evident that much of human expert competence is experience based and it makes sense to adopt a reuse-based methodology for developing knowledge based systems. The other reason is the
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CBR for diagnosis and decision support
AI Communications, 1996This article focuses on the utilisation of the Case-Based Reasoning paradigm for solving problems concerned with diagnosis and decision support. After a brief overview, the pros and cons of CBR for diagnostic purposes will be discussed. Finally, a section on prototypical and fielded applications will demonstrate the applicability of the paradigm.
Mario Lenz +4 more
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Improvement in Field CBR Values of Subgrade Soil Using Construction-Demolition Materials
Transportation Infrastructure Geotechnology, 2021M. Al-Obaydi +3 more
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Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models
, 2022Shengpeng Hao, T. Pabst
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