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http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3599Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Baturone, I. | - |
| dc.creator | Sánchez-Solano, Santiago | - |
| dc.creator | Barriga, Angel | - |
| dc.creator | Huertas-Díaz, J. L. | - |
| dc.date | 2008-04-15T17:35:57Z | - |
| dc.date | 2008-04-15T17:35:57Z | - |
| dc.date | 1998-11 | - |
| dc.date.accessioned | 2017-01-31T01:02:23Z | - |
| dc.date.available | 2017-01-31T01:02:23Z | - |
| dc.identifier | XIII Conference on Design of Circuits and Integrated Systems (DCIS’98), pp. 316-321, Madrid, November 17-20, 1998. | - |
| dc.identifier | http://hdl.handle.net/10261/3599 | - |
| dc.identifier.uri | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3599 | - |
| dc.description | A fuzzy processor is programmed to provide anoptimum output for solving a given problem. It could theoretically solve any problem (from a static point of view) if it is an universal approximator. This paper addresses the design of fuzzy processors aiming at a twofold objective: efficient adaptive approximation of different and even dynamically changing surfaces and hardware simplicity. Adequate programmable parameters and a fully-parallel architecture are selected. Mixed-signal blocks based on digitally programmed current mirrors are employed. Error-descent learning algorithms for tuning are discussed. Adaptive behavior is illustrated with an application to the on-line identification of a nonlinear plant. | - |
| dc.description | Peer reviewed | - |
| dc.format | 86294 bytes | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.rights | openAccess | - |
| dc.subject | Fuzzy processors | - |
| dc.subject | Adaptive approximation | - |
| dc.subject | Architecture design | - |
| dc.title | Optimization of adaptive fuzzy processor design | - |
| dc.type | Comunicación de congreso | - |
| Appears in Collections: | Digital Csic | |
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