Zeroing Dynamics, Gradient Dynamics, and Newton Iterations
$242.40
- Paperback
310 pages
- Release Date
31 December 2023
Summary
Zeroing Dynamics: Real-Time Solutions with Neural Networks
Neural networks and neural dynamics offer robust methods for solving mathematical problems across science, engineering, and business in real-time. Unlike traditional gradient neural networks limited to static problems, zeroing dynamics efficiently handle time-varying challenges.
Zeroing Dynamics, Gradient Dynamics, and Newton Iterations pioneers the exploration of accurate and efficient solutions for…
Book Details
| ISBN-13: | 9781138894082 |
|---|---|
| ISBN-10: | 1138894087 |
| Author: | Yunong Zhang, Zhengli Xiao, Mingzhi Mao, Lin Xiao |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Paperback |
| Number of Pages: | 310 |
| Release Date: | 31 December 2023 |
| Weight: | 0g |
| Dimensions: | 254mm x 178mm |
About The Author
Yunong Zhang
Yunong Zhang is a professor in the School of Information Science and Technology at Sun Yat-sen University. He is also with the SYSU-CMU Shunde International Joint Research Institute for cooperative research. He has published more than 375 scientific works of various types and has been a winner of the Best Paper Award of ISSCAA and the Best Paper Award of ICAL. He was among the 2014 Highly Cited Scholars of China. His main research interests include neural networks, robotics, computation, and optimization. He earned a PhD from the Chinese University of Hong Kong.
Lin Xiao is a lecturer in the College of Information Science and Engineering at Jishou University. His current research interests include neural networks, intelligent information processing, robotics, and related areas. He earned a PhD from Sun Yat-sen University.
Zhengli Xiao is currently pursuing an MS in the Department of Computer Science in the School of Information Science and Technology at Sun Yat-sen University. He is also with the SYSU-CMU Shunde International Joint Research Institute for cooperative research. His current research interests include neural networks, intelligent information processing, and learning machines. He earned a BS in software engineering from Changchun University of Science and Technology.
Mingzhi Mao is an associate professor in the School of Information Science and Technology at Sun Yat-sen University. His main research interests include intelligence algorithms, software engineering, and management information systems. He earned a PhD from the Department of Computer Science at Sun Yat-sen University.
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