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Bio-Inspired and Neuromorphic Machine Vision System for Analyzing Three-Dimensional Data
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Bio-Inspired and Neuromorphic Machine Vision System for Analyzing Three-Dimensional Data. |
| 개인저자 | Skocik, Michael Joseph. |
| 단체저자명 | The Pennsylvania State University. Physics. |
| 발행사항 | [S.l.]: The Pennsylvania State University., 2016. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2016. |
| 형태사항 | 267 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438135819 |
| 학위논문주기 | Thesis (Ph.D.)--The Pennsylvania State University, 2016. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
|
| 요약 | This dissertation investigates neuron models, which are the basic units of computation in many bio-inspired data analysis systems |
| 일반주제명 | Physics. Neurosciences. Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
