Zhang Time Discretization (Ztd) Formulas and Applications

Zhang, Yunong, Guo, Jinjin

Zhang Time Discretization (Ztd) Formulas and Applications
  • 出版商: CRC
  • 出版日期: 2024-08-07
  • 售價: $5,680
  • 貴賓價: 9.5 折 $5,396
  • 語言: 英文
  • 頁數: 323
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032806249
  • ISBN-13: 9781032806242

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.

The authors summarize and present the systematic derivations and complete research of ZTD formulas from special 3S-ZTD formulas to general NS-ZTD formulas. These finally lead to their proposed discrete-time Zhang neural network (DTZNN) algorithms, which are more efficient, accurate, and elegant. This book will open the door to scientific and engineering applications of ZTD formulas and neural networks, and will be a major inspiration for studies in neural network modeling, numerical algorithm design, prediction, and robot manipulator control.

The book will benefit engineers, senior undergraduates, graduate students, and researchers in the fields of neural networks, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, robotics, and simulation modeling.

商品描述(中文翻譯)

本書旨在解決連續時間神經網絡模型的離散實現問題，同時通過使用各種 Zhang Time Discretization (ZTD) 公式來提升神經網絡的性能。

作者總結並呈現了 ZTD 公式的系統推導和完整研究，從特殊的 3S-ZTD 公式到一般的 NS-ZTD 公式。這些最終導致他們提出的離散時間 Zhang 神經網絡 (DTZNN) 演算法，這些演算法更高效、準確且優雅。本書將為 ZTD 公式和神經網絡的科學與工程應用打開大門，並將成為神經網絡建模、數值演算法設計、預測和機器人操控控制研究的重要靈感來源。

本書將惠及神經網絡、計算數學、計算機科學、人工智慧、數值演算法、優化、機器人技術和模擬建模等領域的工程師、高年級本科生、研究生和研究人員。

作者簡介

Yunong Zhang, PH.D., earned his B.S. degree from Huazhong University of Science and Technology, Wuhan, China, in 1996, his M.S. degree from South China University of Technology, Guangzhou, China, in 1999, and his Ph.D. from the Chinese University of Hong Kong, Shatin, Hong Kong, China, in 2003. He is currently a professor at the School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China. Dr. Zhang was supported by the Program for New Century Excellent Talents in Universities in 2007. He received the Best Paper Award from the International Symposium on Systems and Control in Aeronautics and Astronautics (ISSCAA) in 2008 and the Best Paper Award from the International Conference on Automation and Logistics (ICAL) in 2011. He was among the Highly Cited Scholars of China selected and published by Elsevier from 2014 to 2022.

Jinjin Guo, Ph.D., earned her B.E. degree in measurement technology and instrument from Nanchang University, Nanchang, China, in 2016, her M.E. degree in control engineering from Sun Yat-sen University, Guangzhou, China, in 2018, and her Ph.D. in computer science and technology from Sun Yat-sen University, Guangzhou, China, in 2022. She is currently a lecturer at the School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China. Her main research interests include neural networks, numerical computation, and tracking control.

作者簡介(中文翻譯)

Yunong Zhang, PH.D.，於1996年獲得中國武漢華中科技大學的學士學位，1999年獲得中國廣州南方科技大學的碩士學位，並於2003年獲得中國香港中文大學的博士學位。他目前是中國廣州中山大學計算機科學與工程學院的教授。張博士於2007年獲得新世紀優秀人才計畫的支持。他在2008年獲得國際航空航天系統與控制研討會（ISSCAA）的最佳論文獎，以及在2011年獲得國際自動化與物流會議（ICAL）的最佳論文獎。他於2014年至2022年期間被愛思唯爾選為中國高被引學者。

Jinjin Guo, Ph.D.，於2016年獲得中國南昌大學的測量技術與儀器工程學士學位，2018年獲得中國廣州中山大學的控制工程碩士學位，並於2022年獲得中國廣州中山大學的計算機科學與技術博士學位。她目前是中國廣州廣東工業職業技術學院計算機科學系的講師。她的主要研究興趣包括神經網絡、數值計算和跟踪控制。

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