Yunong Zhang, Ph D, is a professor at the School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China, and an associate editor at IEEE Transactions on Neural Networks and Learning Systems. He has researched motion planning and control of redundant manipulators and recurrent neural networks for 19 years, and he holds seven authorized patents.
Long Jin is pursuing his doctorate in Communication and Information Systems at the School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China. His main research interests include robotics, neural networks, and intelligent information processing.
13 หนังสืออิเล็กทรอนิกส์โดย Yunong Zhang
Yunong Zhang & Long Jin: Robot Manipulator Redundancy Resolution
Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipulators This book describes a novel quadratic progr …
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€101.99
Yunong Zhang & Long Jin: Robot Manipulator Redundancy Resolution
Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipulators This book describes a novel quadratic progr …
EPUB
อังกฤษ
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€101.99
Yunong Zhang & Zhijun Zhang: Repetitive Motion Planning and Control of Redundant Robot Manipulators
Repetitive Motion Planning and Control of Redundant Robot Manipulators presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its ext …
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€117.69
Yunong Zhang & Dongsheng Guo: Zhang Functions and Various Models
This book focuses on solving different types of time-varying problems. It presents various Zhang dynamics (ZD) models by defining various Zhang functions (ZFs) in real and complex domains. It then pr …
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€53.49
Dechao Chen & Chengxu Ye: Toward Deep Neural Networks
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determinati …
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€60.33
Dechao Chen & Chengxu Ye: Toward Deep Neural Networks
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determinati …
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€59.96
Mingzhi Mao & Lin Xiao: Zeroing Dynamics, Gradient Dynamics, and Newton Iterations
Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gr …
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€64.32
Xiaolin Hu & Yousheng Xia: Advances in Neural Networks – ISNN 2015
The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015. The 55 revised full papers pres …
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€57.19
Chenfu Yi & Yunong Zhang: Zhang Neural Networks and Neural-Dynamic Method
The real-time solution to a mathematical problem arises in numerous fields of science, engineering, and business. It is usually an essential part of many solutions, e.g., matrix/vector computation, o …
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€348.03
Eric Anton Kreuter: Chasing Rainbows
Eric A. Kreuter, Ph.D. is a partner with the regional public accounting firm of Marks Paneth LLP. He testifies as an expert witness on litigation support and forensic investigations. Dr. Kreuter volu …
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€147.93
Yunong Zhang & Binbin Qiu: Zhang-Gradient Control
This book introduces readers to using the simple but effective Zhang-gradient (ZG) method to solve tracking-control problems concerning various nonlinear systems, while also highlighting the applicat …
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€96.29
Jinjin Guo & Yunong Zhang: Zhang Time Discretization (ZTD) Formulas and Applications
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 (ZT …
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€167.31
Jinjin Guo & Yunong Zhang: Zhang Time Discretization (ZTD) Formulas and Applications
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 (ZT …
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€166.91