Spelling suggestions: "subject:"expert systems (eomputer science)."" "subject:"expert systems (aomputer science).""
121 |
Ideal observer estimation and generalized ROC analysis for computer-aided diagnosis /Edwards, Darrin C. January 2003 (has links)
Thesis (Ph. D.)--University of Chicago, Committee on Medical Physics, December 2003. / Includes bibliographical references. Also available on the Internet.
|
122 |
Knowledge-based approach to roster scheduling problems /Hui, Chi-kwong. January 1988 (has links)
Thesis (M. Phil.)--University of Hong Kong, 1988.
|
123 |
The application of expert system in labour legislation /Chan, Fun-ting. January 1900 (has links)
Thesis (M.B.A.)--University of Hong Kong, 1988.
|
124 |
Soil property determination through a knowledge-based system with emphasis on undrained shear strength馮可達, Fung, Ho-tat. January 1997 (has links)
published_or_final_version / Civil and Structural Engineering / Doctoral / Doctor of Philosophy
|
125 |
Expert system in stochastic analysis of neuronal signals鄭嘉亨, Cheng, Ka-hang. January 1993 (has links)
published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
|
126 |
ADVICE: AN EXPERT SYSTEM TO HELP EVALUATE GRADUATE STUDY PLANS OF SYSTEMS & INDUSTRIAL ENGINEERING STUDENTSShen, Yan, 1954- January 1986 (has links)
No description available.
|
127 |
Knowledge based simulation system--an application in controlled environment simulation systemZhang, Guoging, 1963- January 1988 (has links)
This thesis systematically identifies the building blocks of a knowledge based system for simulation and modelling. We present the design and implementation of Controlled Environment Simulation System (CESS), which bridges a discrete event simulation system (DEVS-SCHEME) and a continuous simulation system (TRNSYS). The rationale behind the approach is that a discrete or a continuous model can be abstracted to a level at which the uniform treatment on these two kinds of models is possible. A top-down approach to model creation (abstraction) is proposed, in contrast to the traditional bottom-up approach. CESS is implemented on an object-oriented programming environment (SCOOPS on TI-SCHEME). A knowledge representation scheme known as System Entity Structure is employed for MODEL management, recording system structural knowledge, and the utilization of techniques in Artificial Intelligence. Some prospective research topics are also brought up.
|
128 |
Power, politics and the innovation process: analysis of an organizational field in agricultureEgri, Carolyn Patricia 05 1900 (has links)
An analysis of the organizational field of B.C. agriculture was conducted
to explore the politics of the innovation process. Agricultural innovations in
organic farming, synthetic agrichemicals and biogenetic engineering were studied
at the individual, organizational and interorganizational levels. Research
questions regarding the innovation decision—making process, innovation
championship, organizational politics, organization theory and
interorganizational networks were explored.
A total of 137 persons (organic and conventional farmers, BCMAFF employees,
farm organization employees) were interviewed in this research study. Data was
collected via semi—structured interviews, questionnaires, and analysis of
publications to investigate a total of 28 research questions.
Similarities and differences between organic and conventional farmers in
respect to their socioeconomic characteristics, motivations, actions and
environmentalist beliefs were identified. Organic farmers basis for their
innovation adoption decisions was found to be largely informed by their
environmentalist philosophy whereas the primary motivating factor for
conventional farmers was economic rather than ideological.
Case studies of 33 farm organizations (20 conventional and 13 organic) were
conducted. Organizational fields were found to be defined not only in terms of
products, services and geographic location but also in terms of ideology. Within
the conventional agriculture organizational field there was a high degree of
homogeneity in organizational structures and decision making processes as well
as close collaboration with government policy makers. Within the organic
agriculture organizational field there was homogeneity in production practices,
but heterogeneity in organizational structures, goals and decision making
processes based on the radicalness of the environmentalist philosophy of an
organization’s membership. The formation and operation of interorganizational
networks in each organizational field confirmed previous findings of the critical
problems in overorganized and underorganized networks. A longitudinal analysis of organizational politics in the organic
agriculture organizational field revealed that institutionalization processes
engender political contests among competing interests. The successful
championship of an innovative government regulatory system was attributed to the
early use of a wide variety of collaborative and competitive political games.
Opponents’ efforts to neutralize champions’ escalation of commitment during the
later stages of the innovation development process proved to be ineffective.
|
129 |
Knowledge acquisition and the system dynamics methodologyTrimble, John 08 1900 (has links)
No description available.
|
130 |
A domain-independent framework for structuring knowledge in the OFMspert architectureChronister, Julie Anne 12 1900 (has links)
No description available.
|
Page generated in 0.1104 seconds