DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Ghim, Young-Chul | - |
dc.contributor.advisor | 김영철 | - |
dc.contributor.author | Kim, Minseok | - |
dc.date.accessioned | 2023-06-26T19:33:13Z | - |
dc.date.available | 2023-06-26T19:33:13Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1032828&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/309757 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 원자력및양자공학과, 2023.2,[iv, 51 p. :] | - |
dc.description.abstract | I expected that inferring plasma status with magnetic signals would be especially important when only a few diagnostics such as magnetic field probes would be available at nuclear fusion power plants. I conducted preparatory research predicting kinetic profiles in the KSTAR with magnetic and heating information using an artificial neural network. I implemented Gaussian process regression (GPR) for kinetic profile reconstruction, and results - where GPR kernel function's hyper-parameters are predicted with the Maximum a posteriori (MAP) estimator and marginalized with the No-U-turn sampler (NUTS) - are compared. To get the spatially continuous neural network prediction, I conducted the principal component analysis (PCA) on the kinetic profiles for the dimensionality reduction. In addition, I adopted support vector machine regression (SVMR) to handle data outliers. I report the KSTAR ion temperature prediction results utilizing all the methods mentioned above. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | KSTAR▼aplasma kinetic profiles▼aartificial neural network▼aGPR▼aMAP▼aNUTS▼aPCA▼aSVMR | - |
dc.subject | KSTAR▼a플라즈마 kinetic profiles▼a인공신경망▼aGPR▼aMAP▼aNUTS▼aPCA▼aSVMR | - |
dc.title | Predicting plasma kinetic profiles with Gaussian process and a neural network in KSTAR based on magnetic and heating information | - |
dc.title.alternative | 가우시안 프로세스 및 인공신경망을 활용한 자기장과 가열 정보 기반 KSTAR 플라즈마 kinetic profile 예측 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :원자력및양자공학과, | - |
dc.contributor.alternativeauthor | 김민석 | - |
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