Tokuda N | Sunflare Research And Development Center
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概要
関連著者
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TOKUDA Naoyuki
SunFlare Research and Development Center
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Tokuda N
Sunflare Research And Development Center
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Tokuda Naoyuki
Faculty Of General Education Utsunomiya University
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Miyamichi J
Faculty Of Engineering Utsunomiya University
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Tokuda Naoyuki
Computer Science Department Utsunomiya University Utsunomiya Japan
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MIYAMICHI Juichi
Computer Science Department, Faculty of Engineering, Utsunomiya University
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NAGAI Akira
Gunma Prefectural Institute of Public Health and Environmental Sciences
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Chen Liang
Computer Science Department University Of Northern British Columbia
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Nagai A
Advanced Media Network Center Utsunomiya University
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TOKUDA Naoyuki
The authors are with the Computer Science Department, Utsunomiya University
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YAN Jianjun
The authors are with Computer Science Department, Faculty of Engineering, Utsunomiya University
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YAN Ronghua
Computer Science Department, Faculty of Engineering, Utsunomiya University
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Yan Jianjun
The Authors Are With Computer Science Department Faculty Of Engineering Utsunomiya University
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Yan Ronghua
Computer Science Department Faculty Of Engineering Utsunomiya Univesity
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NAGAI Akira
Advanced Media Network Center, Utsunomiya University
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CHEN Liang
The authors are with the Computer Science Department, Utsunomiya University
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NAGAI Akira
The authors are with the Computer Science Department, Utsunomiya University
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MIYAMICHI Juichi
The authors are with Computer Science Department, Faculty of Engineering, Utsunomiya University
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YAN Jianjun
Computer Science Department, Faculty of Engineering, Utsunomiya University
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Ni Yongmao
Faculty of International Studies, Utsunomiya University
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Ni Yongmao
Faculty Of International Studies Utsunomiya University
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Nagai Akira
Advanced Media Network Center Utsunomiya University
著作論文
- Capacity analysis for a two-level decoupled Hamming network for associative memory under a noisy environment
- Probabilistic Information Retrieval Method Based on Differential Latent Semantic Index Space
- A Constructive Compound Neural Networks. II Application to Artificial Life in a Competitive Environment
- A New Constructive Compound Neural Networks Using Fuzzy Logic and Genetic Algorithm 1 Application to Artificial Life
- A Model-Based Active Landmarks Tracking Method
- Image Morphing by Spatial Thin-Plate Spline Transformation
- A Finite-Difference Solution of a Crystal Growth Stefan Problem