SES : a soils expert system : a thesis presented in fulfilment of the requirements for the degree of Master of Science in Computer Science
dc.contributor.author | Todd, E G | |
dc.date.accessioned | 2019-05-20T21:55:27Z | |
dc.date.available | 2019-05-20T21:55:27Z | |
dc.date.issued | 1988 | |
dc.description.abstract | An Expert System Development Methodology is proposed, based on experimentation in developing a soils expert system (SES) which identifies a soil from incomplete field data. Tools for conceptual modeling of the soils domain are examined. The tools developed provide a means of recording the conceptual model of the knowledge from three different view points: the inference structures, the domain objects and the functional aspects. A review of the structures used in the knowledge bases of existing classification problems identifies eleven categories for grouping these structures. Using this information with the conceptual model, a detailed design of the knowledge base for SES is created. This design closely models those structures identified as important in the soils domain ensuring that important knowledge is represented explicitly. | en_US |
dc.identifier.uri | http://hdl.handle.net/10179/14644 | |
dc.language.iso | en | en_US |
dc.publisher | Massey University | en_US |
dc.rights | The Author | en_US |
dc.subject | Expert systems (Computer science) | en_US |
dc.subject | Soil Science | en_US |
dc.subject | Data processing | en_US |
dc.title | SES : a soils expert system : a thesis presented in fulfilment of the requirements for the degree of Master of Science in Computer Science | en_US |
dc.type | Thesis | en_US |
massey.contributor.author | Todd, E G | |
thesis.degree.discipline | Computer Science | en_US |
thesis.degree.grantor | Massey University | en_US |
thesis.degree.level | Masters | en_US |
thesis.degree.name | Master of Science (M. Sc.) | en_US |
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