Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics
上傳時間： 2017-10-27
上傳用戶：shawnleaves
Q-learning在機器人路徑規劃中的應用
標簽： Q-learning
上傳時間： 2018-03-28
上傳用戶：wangshengmin
強化學習中的Q-Learning在路徑規劃中的應用
標簽： Q-Learning planning path
上傳時間： 2018-03-28
上傳用戶：wangshengmin
Evolutionary Computation (EC) deals with problem solving, optimization, and machine learning techniques inspired by principles of natural evolution and ge- netics. Just from this basic definition, it is clear that one of the main features of the research community involved in the study of its theory and in its applications is multidisciplinarity. For this reason, EC has been able to draw the attention of an ever-increasing number of researchers and practitioners in several fields.
標簽： Applications Evolutionary Computing of
上傳時間： 2020-05-26
上傳用戶：shancjb
Much of Game Theory has developed within the community of Economists, starting from the book “Theory of Games and Economic behavior” by Mor- genstern and Von Neumann (1944). To a lesser extent, it has had an impact on biology (with the development of evolutionarygames) and on road traffic Engi- neering (triggered by the concept of Wardrop equilibrium introduced already in 1952 along with the Beckmann potential approach introduced in 1956). Since 1999 game theory has had a remarkable penetration into computer sci- ence with the formation of the community of Algorithmic game theory.
標簽： Distributed Strategic Learning
上傳時間： 2020-05-27
上傳用戶：shancjb
MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a comprehensive introduction to the basic theory and practice of wireless channel modeling, OFDM, and MIMO, with MATLAB ? programs to simulate the underlying techniques on MIMO-OFDMsystems.Thisbookisprimarilydesignedforengineersandresearcherswhoare interested in learning various MIMO-OFDM techniques and applying them to wireless communications.
標簽： Communications MIMO-OFDM Wireless MATLAB with
上傳時間： 2020-05-28
上傳用戶：shancjb
From its inception, random matrix theory has been heavily influenced by its applications in physics, statistics and engineering. The landmark contributions to the theory of random matrices of Wishart (1928) [311], Wigner (1955) [303], and Mar? cenko and Pastur (1967) [170] were moti- vated to a large extent by practical experimental problems.
上傳時間： 2020-06-01
上傳用戶：shancjb
Striking developments have taken place since 1980 in feedback control theory. The subject has be- come both more rigorous and more applicable. The rigor is not for its own sake, but rather that even in an engineering discipline rigor can lead to clarity and to methodical solutions to problems. The applicability is a consequence both of new problem formulations and new mathematical solutions to these problems. Moreover, computers and software have changed the way engineering design is done. These developments suggest a fresh presentation of the subject, one that exploits these new developments while emphasizing their connection with classical control.
上傳時間： 2020-06-10
上傳用戶：shancjb
The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and algorithms of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.
上傳時間： 2020-06-10
上傳用戶：shancjb
Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.
標簽： Learning Machine Course in
上傳時間： 2020-06-10
上傳用戶：shancjb
