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Fast and optimal synthesis of binary threshold neural networks
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rhee, Frank | - |
| dc.date.accessioned | 2021-06-24T01:02:23Z | - |
| dc.date.available | 2021-06-24T01:02:23Z | - |
| dc.date.issued | 2002-08 | - |
| dc.identifier.issn | 0916-8516 | - |
| dc.identifier.issn | 1745-1345 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46800 | - |
| dc.description.abstract | A new algorithm for synthesizing binary threshold neural networks (BTNNs) is proposed. A binary (Boolean) input-output mapping that can be represented by minimal sum-of-product (MSP) terms is initially obtained from training data. The BTNN is then synthesized based on an MSP term grouping method. As a result, a fast and optimal realization of a BTNN can be obtained. Examples of both feedforward and recurrent BTNN synthesis used in a parallel processing architecture are given and compared with other existing methods. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Oxford University Press | - |
| dc.title | Fast and optimal synthesis of binary threshold neural networks | - |
| dc.type | Article | - |
| dc.publisher.location | 일본 | - |
| dc.identifier.scopusid | 2-s2.0-0036705588 | - |
| dc.identifier.wosid | 000177439100022 | - |
| dc.identifier.bibliographicCitation | IEICE Transactions on Communications, v.E85B, no.8, pp 1608 - 1613 | - |
| dc.citation.title | IEICE Transactions on Communications | - |
| dc.citation.volume | E85B | - |
| dc.citation.number | 8 | - |
| dc.citation.startPage | 1608 | - |
| dc.citation.endPage | 1613 | - |
| dc.type.docType | Article; Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Telecommunications | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Telecommunications | - |
| dc.subject.keywordAuthor | perceptrons | - |
| dc.subject.keywordAuthor | binary threshold neural networks | - |
| dc.subject.keywordAuthor | MSP term grouping | - |
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Related Researcher
- Rhee, Chung Hoon Frank
- ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)