A branching fuzzy-logic classifier for building optimization
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/32512 |
| _version_ | 1811080668386426880 |
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| author | Lehar, Matthew A., 1977- |
| author2 | Leon R. Glicksman. |
| author_facet | Leon R. Glicksman. Lehar, Matthew A., 1977- |
| author_sort | Lehar, Matthew A., 1977- |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005. |
| first_indexed | 2024-09-23T11:34:52Z |
| format | Thesis |
| id | mit-1721.1/32512 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:34:52Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/325122019-04-12T10:00:08Z A branching fuzzy-logic classifier for building optimization Lehar, Matthew A., 1977- Leon R. Glicksman. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005. Includes bibliographical references (p. 109-110). We present an input-output model that learns to emulate a complex building simulation of high dimensionality. Many multi-dimensional systems are dominated by the behavior of a small number of inputs over a limited range of input variation. Some also exhibit a tendency to respond relatively strongly to certain inputs over small ranges, and to other inputs over very large ranges of input variation. A branching linear discriminant can be used to isolate regions of local linearity in the input space, while also capturing the effects of scale. The quality of the classification may be improved by using a fuzzy preference relation to classify input configurations that are not well handled by the linear discriminant. by Matthew A. Lehar. Ph.D. 2006-03-29T18:51:25Z 2006-03-29T18:51:25Z 2005 2005 Thesis http://hdl.handle.net/1721.1/32512 62074856 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 110 p. 4752218 bytes 4758364 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Lehar, Matthew A., 1977- A branching fuzzy-logic classifier for building optimization |
| title | A branching fuzzy-logic classifier for building optimization |
| title_full | A branching fuzzy-logic classifier for building optimization |
| title_fullStr | A branching fuzzy-logic classifier for building optimization |
| title_full_unstemmed | A branching fuzzy-logic classifier for building optimization |
| title_short | A branching fuzzy-logic classifier for building optimization |
| title_sort | branching fuzzy logic classifier for building optimization |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/32512 |
| work_keys_str_mv | AT leharmatthewa1977 abranchingfuzzylogicclassifierforbuildingoptimization AT leharmatthewa1977 branchingfuzzylogicclassifierforbuildingoptimization |