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Reduced Order Models and Approximations for Hardware Acceleration of Neural Networks
Reduced Order Models and Approximations for Hardware Acceleration of Neural Networks
Detailed Information
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210093903
- ISBN
- 9798535548562
- DDC
- 621.3
- 저자명
- Azari, Elham.
- 서명/저자
- Reduced Order Models and Approximations for Hardware Acceleration of Neural Networks
- 발행사항
- [Sl] : Arizona State University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 171 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Vrudhula, Sarma.
- 학위논문주기
- Thesis (Ph.D.)--Arizona State University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Computer engineering
- 일반주제명
- Computer science
- 일반주제명
- Design
- 일반주제명
- Energy efficiency
- 일반주제명
- Accuracy
- 일반주제명
- Random variables
- 일반주제명
- Sensitivity analysis
- 일반주제명
- Classification
- 키워드
- LSTM
- 키워드
- Machine learning
- 키워드
- Neural networks
- 키워드
- Polynomial chaos
- 기타저자
- Arizona State University Computer Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210093903
■020 ▼a9798535548562
■035 ▼a(MiAaPQ)AAI28651949
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aAzari, Elham.
■24510▼aReduced Order Models and Approximations for Hardware Acceleration of Neural Networks
■260 ▼a[Sl]▼bArizona State University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a171 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Vrudhula, Sarma.
■5021 ▼aThesis (Ph.D.)--Arizona State University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0010.
■650 4▼aComputer engineering
■650 4▼aComputer science
■650 4▼aDesign
■650 4▼aEnergy efficiency
■650 4▼aAccuracy
■650 4▼aRandom variables
■650 4▼aSensitivity analysis
■650 4▼aClassification
■653 ▼aHardware acceleration
■653 ▼aLSTM
■653 ▼aMachine learning
■653 ▼aNeural networks
■653 ▼aPolynomial chaos
■653 ▼aUncertainty quantification
■690 ▼a0464
■690 ▼a0984
■690 ▼a0389
■71020▼aArizona State University▼bComputer Engineering.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0010
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053667▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
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