검색어 : 통합검색[Machine theory.]
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141
- Approach to machine translation method based on Constructive Process Theory
- Ikehara, Satoru; Miyazaki, Masahiro; Shirai, Satoshi; Yokoo, Akio; ; (Review of the electrical communication laboratories, v.37, 1989, pp.39-44)
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142
- Machine Direction Strength Theory of Corrugated Fiberboard
- Johnson, WS; Masters, JE; Wilson, DW; Urbanik, TJ; ; (Journal of composites technology & research, v.18, 1996, pp.80)
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143
- The differential induction machine: Theory and performance
- Sinha, Sumita; Deb, Nirmal K.; Mondal, Nikhil; Biswas, Sujit K.; ; (Sādhanā : Academy proceedings in engineering sciences, v.33, 2008, pp.663-670)
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144
- Theory-Guided Machine Learning in Materials Science
- Wagner, Nicholas; Rondinelli, James M.; ; (Frontiers in Materials, v.3, 2016, )
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145
- Innovations in Machine Learning Theory and Applications
- Holmes, D. E.; Jain, L. C.; ; (Studies in fuzziness and soft computing, v.194, 2006, pp.ALL)
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146
- A Universal Machine for Biform Theory Graphs
- Kohlhase, M.; Mance, F.; Rabe, F.; ; (Lecture notes in computer science, v.7961, 2013, pp.82-97)
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147
- Extreme learning machine: algorithm, theory and applications
- Ding, Shifei; Zhao, Han; Zhang, Yanan; Xu, Xinzheng; Nie, Ru; ; (The Artificial intelligence review, v.44, 2015, pp.103-115)
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148
- Methods and theory for off-line machine learning
- Yakowitz, S.; Mai, J.; ; (IEEE transactions on automatic control, v.40, 1995, pp.161-165)
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149
- Synchronous Machine Sequence Inductances and Transformation Theory
- Bonwick, W. J.; Department of Electrical Engineering, Monash University, Clayton, Victoria. Australia; (International journal of electrical engineering education, v.9, 1971, pp.449-462)
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150
- Anisotropic layer model theory applied to synchronous machine analysis
- Alvarenga, Bernardo P.; Alves, Renato S.; Paula, Geyverson T.; Marra, Enes G.; Chabu, Ivan E.; Cardoso, José R.; Mecrow, Barrie C.; Smith, Alexander C.; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; School of Electrical Mechanical & Computer Engineering Federal University of Goiá s Goiâ nia Brazil; Laboratory of Applied Electromagnetism Polytechnic School of S ao Paulo University Brazil; Laboratory of Applied Electromagnetism Polytechnic School of S ao Paulo University Brazil; Electrical Power Group School of Electrical Engineering Newcastle University UK; Power and Energy Division School of Electrical and Electronic Engineering University of Manchester UK; (IET electric power applications, v.14, 2020, pp.2873-2880)
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