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Kirjailija

Ying Tan

Kirjat ja teokset yhdessä paikassa: 10 kirjaa, julkaisuja vuosilta 2003-2024, suosituimpien joukossa Linear and Nonlinear Iterative Learning Control. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

10 kirjaa

Kirjojen julkaisuhaarukka 2003-2024.

Linear and Nonlinear Iterative Learning Control

Linear and Nonlinear Iterative Learning Control

Jian-Xin Xu; Ying Tan

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2003
nidottu
This monograph summarizes the recent achievements made in the field of iterative learning control. The book is self-contained in theoretical analysis and can be used as a reference or textbook for a graduate level course as well as for self-study. It opens a new avenue towards a new paradigm in deterministic learning control theory accompanied by detailed examples.
Intelligent Robot

Intelligent Robot

Feng Duan; Wenyu Li; Ying Tan

SPRINGER VERLAG, SINGAPORE
2024
nidottu
Today, the development of robots is making steady advances. In particular, the Robot Operating System (ROS) offers a unified platform that greatly facilitates the development of robots and has become a new hotspot for learning and application in the field of robotics research.This book introduces readers to the key technologies and development methods for ROS-based intelligent robots. Covering both the development history of robots and various aspects of programming robots, it offers effective support for beginners.The book is divided into three parts, the first of which introduces the basics of robots, including their definition, development, composition, and key technologies. In turn, the second part covers the hardware and software components and the implementation of functions such as vision, speech, grasping, and autonomous navigation. These functions need to work together to provide user-friendlier and more intelligent service. The third part shows howto develop robots with different functions in different application scenarios.Combining theoretical and practical aspects, with a strong focus on application, this work can be used as a reference book for robotics-related courses. Moreover, it will benefit all readers who are interested in intelligent robot development, sharing essential insights into developing service robots based on ROS.
Anti-Spam Techniques Based on Artificial Immune System
Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based on the artificial immune system (AIS) to identify and filter spam. It provides a single source of all anti-spam models and algorithms based on the AIS that have been proposed by the author for the past decade in various journals and conferences.Inspired by the biological immune system, the AIS is an adaptive system based on theoretical immunology and observed immune functions, principles, and models for problem solving. Among the variety of anti-spam techniques, the AIS has been highly effective and is becoming one of the most important methods to filter spam. The book also focuses on several key topics related to the AIS, including:Extraction methods inspired by various immune principlesConstruction approaches based on several concentration methods and modelsClassifiers based on immune danger theoryThe immune-based dynamic updating algorithmImplementing AIS-based spam filtering systemsThe book also includes several experiments and comparisons with state-of-the-art anti-spam techniques to illustrate the excellent performance AIS-based anti-spam techniques.Anti-Spam Techniques Based on Artificial Immune System gives practitioners, researchers, and academics a centralized source of detailed information on efficient models and algorithms of AIS-based anti-spam techniques. It also contains the most current information on the general achievements of anti-spam research and approaches, outlining strategies for designing and applying spam-filtering models.
Intelligent Robot

Intelligent Robot

Feng Duan; Wenyu Li; Ying Tan

SPRINGER VERLAG, SINGAPORE
2023
sidottu
Today, the development of robots is making steady advances. In particular, the Robot Operating System (ROS) offers a unified platform that greatly facilitates the development of robots and has become a new hotspot for learning and application in the field of robotics research.This book introduces readers to the key technologies and development methods for ROS-based intelligent robots. Covering both the development history of robots and various aspects of programming robots, it offers effective support for beginners.The book is divided into three parts, the first of which introduces the basics of robots, including their definition, development, composition, and key technologies. In turn, the second part covers the hardware and software components and the implementation of functions such as vision, speech, grasping, and autonomous navigation. These functions need to work together to provide user-friendlier and more intelligent service. The third part shows howto develop robots with different functions in different application scenarios.Combining theoretical and practical aspects, with a strong focus on application, this work can be used as a reference book for robotics-related courses. Moreover, it will benefit all readers who are interested in intelligent robot development, sharing essential insights into developing service robots based on ROS.
Don't Push Too Many Trolleys

Don't Push Too Many Trolleys

Ying Tan

John Wiley Sons Inc
2020
sidottu
Improve your personal and professional life with compelling strategies and practical advice Don't Push Too Many Trolleys: And Other Tips from Navigating Life and Business teaches readers ten crucial principles required to succeed in life and business. Written by Ying Tan, Founder and CEO of a multimillion pound financial services company, Don’t Push Too Many Trolleys imparts sage advice suitable for anyone, at any stage of their life. The author describes the attitudes, lessons, and traits that allowed him to become one of the youngest Vice Presidents ever at Goldman Sachs. He shows readers how he built a company from the ground up to create one of the most influential and powerful financial services companies in the UK. Full of concrete strategies and practical advice, this book provides: A deeply personal and humble perspective on success in life and businessActionable advice that makes a real difference in the pursuit of happiness and wealthA front-row seat to the economic meltdown of 2008 and how the author managed to survive it with his business intact Written for entrepreneurs, business people, financial professionals, and anyone else with an interest in improving their personal and professional life by taking full responsibility for their choices and actions, Don’t Push Too Many Trolleys is an indispensable addition to the libraries of people across the world.
Fireworks Algorithm

Fireworks Algorithm

Ying Tan

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2016
nidottu
This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.
Artificial Immune System

Artificial Immune System

Ying Tan

Wiley-Blackwell
2016
sidottu
This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, ChinaIncludes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issuesPresents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)
GPU-based Parallel Implementation of Swarm Intelligence Algorithms
GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.
Anti-Spam Techniques Based on Artificial Immune System
Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based on the artificial immune system (AIS) to identify and filter spam. It provides a single source of all anti-spam models and algorithms based on the AIS that have been proposed by the author for the past decade in various journals and conferences.Inspired by the biological immune system, the AIS is an adaptive system based on theoretical immunology and observed immune functions, principles, and models for problem solving. Among the variety of anti-spam techniques, the AIS has been highly effective and is becoming one of the most important methods to filter spam. The book also focuses on several key topics related to the AIS, including:Extraction methods inspired by various immune principlesConstruction approaches based on several concentration methods and modelsClassifiers based on immune danger theoryThe immune-based dynamic updating algorithmImplementing AIS-based spam filtering systemsThe book also includes several experiments and comparisons with state-of-the-art anti-spam techniques to illustrate the excellent performance AIS-based anti-spam techniques.Anti-Spam Techniques Based on Artificial Immune System gives practitioners, researchers, and academics a centralized source of detailed information on efficient models and algorithms of AIS-based anti-spam techniques. It also contains the most current information on the general achievements of anti-spam research and approaches, outlining strategies for designing and applying spam-filtering models.
Fireworks Algorithm

Fireworks Algorithm

Ying Tan

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2015
sidottu
This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.