Eiji Mizutani
About
Eiji Mizutani has authored 27 papers that have received a total of 1000 indexed citations.
This includes 17 papers in Artificial Intelligence, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Atomic and Molecular Physics, and Optics. The topics of these papers are Neural Networks and Applications (13 papers), Scheduling and Optimization Algorithms (6 papers) and Model Reduction and Neural Networks (5 papers). Eiji Mizutani is often cited by papers focused on Neural Networks and Applications (13 papers), Scheduling and Optimization Algorithms (6 papers) and Model Reduction and Neural Networks (5 papers) and collaborates with scholars based in Taiwan, United States and Japan. Eiji Mizutani's co-authors include Stuart E. Dreyfus, James Demmel, Jyh‐Shing Roger Jang, Hideyuki Takagi and David M. Auslander and has published in prestigious journals such as IEEE Transactions on Automatic Control, Information Sciences and Neural Networks
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