Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Automated knowledge"”.
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Automated Knowledge Source Selection and Service Composition in Manufacturing
The application scope of this research is the manufacturing domain and a comprehensive manufacturing case study is presented.
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Accelerating scientific research: Empowering automated knowledge discovery through machine learning
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01
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Design, development, and testing of an automated knowledge-acquisition tool to aid problem solving, decision making, and planning
This research studies the process of acquiring knowledge from experts; that is, studies knowledge-acquisition methods to acquire expert knowledge. Forty subjects used a machine-aided knowledge-acquisition tool to model a word processing task. By using the tool, the subjects developed models that …
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Creating Decision Criteria From Examples: The CRiteria Learning System (Crls)
… research on a machine learning approach to automated knowledge acquisition. It focuses on the needs and expectations of problem-solvers in the domain of medicine. It outlines an approach to learning criteria-based knowledge from examples and describes the implementation of a program called …
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Expert system shells in chemistry: CHIRULE, a chiral chromatographic column selection system using similarity searching and personal construct theory
… such as functional group recognition and automated knowledge extraction techniques based on Personal Construct Theory. The results suggest that fragment property values are a route to enhanced understanding and improved selection of chiral separation methods.
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Supporting design: a computational theory of design and its implementation in a software support tool
Most work in knowledge acquisition and manipulation has focused on expert systems. Expert systems solve one kind of problem: heuristic classification. This thesis extends some advances in knowledge engineering to a broader class of problem: design. Design is examined as a generic activity, found in …
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Implementation and evaluation of an intelligent tuner for an ill-defined servo-motor system
This research deals with automated, knowledge-based tuning of servo motors. Conventional adaptive techniques can perform unsatisfactorily when the controlled system is complex and incompletely known. Furthermore, they cannot directly capture and utilize the knowledge of experienced human operators, …
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Enabling mechanisms for AI planning knowledge sharing, merging, and reuse
… intelligent systems perspective, cooperation and knowledge sharing between peer systems can enable each peer to overcome knowledge deficiencies and computational ability limitations. This dissertation investigates issues in enabling such peer-to-peer interoperation between domain-independent …
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Generalized Inverse Optimization with Application to Cancer Therapy
… anatomy and provide a proof of concept of automated, knowledge-based weight determination for radiation therapy treatment planning. Finally, we extend the theory of the second part of the thesis by developing generalized inverse convex optimization models. In the multiobjective optimization …
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Crystal filter tuning using machine learning.
… way. The system, called AEK (Applied Expert Knowledge), was developed using crystal filters and is a hybrid system with the following two functions: (1) Required values of features are extracted from the filter waveform and passed to the expert system which determines the component to adjust …
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A Hybrid heuristic-exhaustive search approach for rule extraction
The topic of this thesis is knowledge discovery and artificial intelligence based knowledge discovery algorithms. The knowledge discovery process and associated problems are discussed, followed by an overview of three classes of artificial intelligence based knowledge discovery algorithms. Typical …