DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Dae-Shik | - |
dc.contributor.advisor | 김대식 | - |
dc.contributor.author | Kim, Jeongho | - |
dc.date.accessioned | 2019-09-04T02:40:14Z | - |
dc.date.available | 2019-09-04T02:40:14Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843382&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/266711 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2019.2,[iii, 25 p. :] | - |
dc.description.abstract | Spiking Neural Network, a neural network model used in Neuromorphic chips, is attracting attention as a next generation neural network model, but it is difficult to overcome low accuracy because of lack of a powerful learning algorithm like backpropagation. Recently, approach that converts Analog-valued Neural Networks trained using backpropagation to Spiking Neural Networks showed that Spiking Neural Network can obtain high accuracy comparable to Analog-valued Neural Network. However, this approach has a disadvantage of slowing the inference speed by encoding activation information into spike firing rates to obtain high accuracy. In order to tackle this problem, we converted the rate-encoded network into a network with efficient encoding scheme, Time-To-First encoding. The results of our study were as accurate as or better than those of the previous studies and the speed was faster than that of the rate-encoded networks. In addition, our model is a hardware-friendly model, which means this model is efficient to be implemented in Neuromorphic chips. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Spiking neural network▼aneuromorphic enigneering▼aspike encoding▼areinforcement learning▼aevolution strategy | - |
dc.subject | 스파이킹 신경망▼a신경모사 공학▼a스파이크 정보 부호화▼a강화 학습▼a진화 전략 | - |
dc.title | Spiking neural network encoding optimization via reinforcement learning and evolution strategy | - |
dc.title.alternative | 강화학습과 진화전략을 이용한 스파이킹 신경망 정보 부호화 최적화 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 김정호 | - |
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