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Book Advancements in Knowledge Distillation  Towards New Horizons of Intelligent Systems

Download or read book Advancements in Knowledge Distillation Towards New Horizons of Intelligent Systems written by Witold Pedrycz and published by Springer Nature. This book was released on 2023-07-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.

Book Trends in Sustainable Computing and Machine Intelligence

Download or read book Trends in Sustainable Computing and Machine Intelligence written by Surekha Lanka and published by Springer Nature. This book was released on with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Intelligent Systems

Download or read book Advances in Intelligent Systems written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2001-11-30 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Systems involve a large class of systems which posses human-like capabilities such as learning, observation, perception, interpretation, reasoning under uncertainty, planning in known and unknown environments, decision making, and control action. The field of intelligent systems is actually a new interdisciplinary field which is the outcome of the interaction, cooperation and synergetic merging of classical fields such as system theory, control theory, artificial intelligence, information theory, operational research, soft computing, communications, linguistic theory, and others. Integrated intelligent decision and control systems involve three primary hierarchical levels, namely organization, coordination and execution levels. As we proceed from the be performed organization to the execution level, the precision about the jobs to increases and accordingly the intelligence required for these jobs decreases. This is in compliance with the principle of increasing precision with decreasing intelligence (IPOI) known from the management field and theoretically established by Saridis using information theory concepts. This book is concerned with intelligent systems and techniques and gives emphasis on the computational and processing issues. Control issues are not included here. The contributions of the book are presented in four parts as follows.

Book Modern Advances in Intelligent Systems and Tools

Download or read book Modern Advances in Intelligent Systems and Tools written by Wei Ding and published by Springer. This book was released on 2012-08-16 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems provide a platform to connect the research in artificial intelligence to real-world problem solving applications. Various intelligent systems have been developed to face real-world applications. This book discusses the modern advances in intelligent systems and the tools in applied artificial intelligence. It consists of twenty-three chapters authored by participants of the 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012) which was held in Dalian, China. This book is divided into six parts, including Applied Intelligence, Cognitive Computing and Affective Computing, Data Mining and Intelligent Systems, Decision Support Systems, Machine Learning, and Natural Language Processing. Each part includes three to five chapters. In these chapters, many approaches, applications, restrictions, and discussions are presented. The material of each chapter is self-contained and was reviewed by at least two anonymous referees to assure the high quality. Readers can select any individual chapter based on their research interests without the need of reading other chapters. We hope that this book provides useful reference values to researchers and students in the field of applied intelligence. We also hope that readers will find opportunities and recognize challenges through the papers presented in this book.

Book Intelligent Systems

Download or read book Intelligent Systems written by Crina Grosan and published by Springer Science & Business Media. This book was released on 2011-07-29 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

Book Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Download or read book Recent Advances on Hybrid Approaches for Designing Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2014-03-26 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Book Innovations in Intelligent Systems

Download or read book Innovations in Intelligent Systems written by Ajith Abraham and published by Springer. This book was released on 2014-03-12 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.

Book Recent Advances in Knowledge based Paradigms and Applications

Download or read book Recent Advances in Knowledge based Paradigms and Applications written by Jeffrey W. Tweedale and published by Springer. This book was released on 2013-11-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. This collection covers several areas of applications and motivates new research directions. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to the recent research and models. Each of the subsequent chapters reveals leading edge research and innovative solution that employ AI techniques with an applied perspective. The problems include classification of spatial images, early smoke detection in outdoor space from video images, emergent segmentation from image analysis, intensity modification in images, multi-agent modeling and analysis of stress. They all are novel pieces of work and demonstrate how AI research contributes to solutions for difficult real world problems that benefit the research community, industry and society.

Book Computationally Intelligent Systems and their Applications

Download or read book Computationally Intelligent Systems and their Applications written by Jagdish Chand Bansal and published by Springer Nature. This book was released on 2021-04-24 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all core technologies like neural networks, fuzzy systems, and evolutionary computation and their applications in the systems. Computationally intelligent system is a new concept for advanced information processing. The objective of this system is to realize a new approach for analyzing and creating flexible information processing of sensing, learning, recognizing, and action taking. Computational intelligent is a part of artificial intelligence (AI) which includes the study of versatile components to empower or encourage savvy practices in intricate and evolving situations. The computationally intelligent system highly relies on numerical information supplied by manufacturers unlike AI.

Book Intelligent Systems

    Book Details:
  • Author : L.S. Sterling
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 1461528364
  • Pages : 227 pages

Download or read book Intelligent Systems written by L.S. Sterling and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published in honour of the 70th birthday of Yoh-Han Pao, George S. Dively Dis tinguished Professor of Engineering at Case Western Reserve University, Cleveland, Ohio, this festschrift embraces a remarkably diverse set of topics. Drawing from the fields of pattern recognition, engineering, artificial intelligence and artificial neural systems, it is a fitting testament to the extraordinary breadth of his professional in terests both in foundational research into the new technology of Intelligent Systems and ill the application of that evolving technology to the solution of hard engineering problems. In common with many scientists who build their reputations in one field before devoting their considerable energies and talents to another one, by 1972, the year in which I met him for the first time, Yoh-Han had made significant contributions to laser technology, in particular to the development of the highly accurate and stable lasers required for holographic recording purposes. In conventional holography, the information stored in a hologram produces a virtual image of the object charac terised by it. However, Yoh-Han became fascinated by the possiblity of driving the process hackwards, of using the hologram as an associative memory device enabling previously stored information to be retrieved on the basis of partial cues. It was this burgeoning interest which shaped his career for more than twenty years. Just prior to 1972, my colleagues Professor Christopher Longuet-Higgins and Dr.

Book Intelligent Systems for Engineers and Scientists  Second Edition

Download or read book Intelligent Systems for Engineers and Scientists Second Edition written by Adrian A. Hopgood and published by CRC Press. This book was released on 2000-10-11 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated version of the best-selling Knowledge-Based Systems for Engineers and Scientists (CRC Press, 1993) embraces both the explicit knowledge-based models retained from the first edition and the implicit numerical models represented by neural networks and optimization algorithms. The title change to Intelligent Systems for Engineers and Scientists reflects its broader scope, incorporating knowledge-based systems, computational intelligence, and their hybrids. Clear and concise, the book shows the issues encountered in the development of applied systems and describes a wide range of intelligent systems techniques. The author describes each technique at the level of detail required to develop intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, Intelligent Systems for Engineers and Scientists provides you with a detailed, up-to-date, and practical guide to solving real problems in science and engineering. This indispensable book provides everything in one volume: BREADTH - from knowledge-based systems to computational intelligence DEPTH - from introductory concepts to advanced specialist techniques SCOPE - from principles to practicalities

Book Lecture Notes in Real Time Intelligent Systems

Download or read book Lecture Notes in Real Time Intelligent Systems written by Jolanta Mizera-Pietraszko and published by Springer. This book was released on 2017-08-07 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent computing refers greatly to artificial intelligence with the aim at making computer to act as a human. This newly developed area of real-time intelligent computing integrates the aspect of dynamic environments with the human intelligence. This book presents a comprehensive practical and easy to read account which describes current state-of-the art in designing and implementing real-time intelligent computing to robotics, alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowd sourcing, broadband systems, cloud computing, streaming data and many other applications areas. The solutions discussed in this book will encourage the researchers and IT professional to put the methods into their practice.

Book Hybrid Intelligent Systems

    Book Details:
  • Author : Larry R. Medsker
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 1461523532
  • Pages : 302 pages

Download or read book Hybrid Intelligent Systems written by Larry R. Medsker and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

Book Intelligent Systems and Technologies

Download or read book Intelligent Systems and Technologies written by Junzo Watada and published by Springer Science & Business Media. This book was released on 2009-06-17 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statefull Service and a Multicoreenabled System; Ro-WordNet with Paradigmatic Morphology and Subjectivity Mark-up; Special Cases of Relative Object Qualification using the AMONG Operator; Effective Speaker Tracking Strategies for Multi-party Human-Computer Dialogue; The Fuzzy Interpolative Control for Passive Greenhouses; GPS safety system for airplanes; 3D Collaborative Interfaces for E-learning; Open Projects in Contemporary E-Learning; Software Platform for Archaeological Patrimony Inventory and Management. The book is directed to the graduate students, researchers, professors and the practitioner of intelligent systems.

Book Intelligent Systems  Theory  Research and Innovation in Applications

Download or read book Intelligent Systems Theory Research and Innovation in Applications written by Ricardo Jardim-Goncalves and published by Springer Nature. This book was released on 2020-03-03 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Book INTELLIGENT SYSTEMS AND COMPUTER TECHNOLOGY

Download or read book INTELLIGENT SYSTEMS AND COMPUTER TECHNOLOGY written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Applied Intelligent Systems

Download or read book Applied Intelligent Systems written by John Fulcher and published by Springer. This book was released on 2012-10-16 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans have always been hopeless at predicting the future...most people now generally agree that the margin of viability in prophecy appears to be 1 ten years. Even sophisticated research endeavours in this arena tend to go 2 off the rails after a decade or so. The computer industry has been particularly prone to bold (and often way off the mark) predictions, for example: ‘I think there is a world market for maybe five computers’ Thomas J. Watson, IBM Chairman (1943), ‘I have traveled the length and breadth of this country and talked with the best people, and I can assure you that data processing is a fad that won’t last out the year’ Prentice Hall Editor (1957), ‘There is no reason why anyone would want a computer in their home’ Ken Olsen, founder of DEC (1977) and ‘640K ought to be enough for anybody’ Bill Gates, CEO Microsoft (1981). 3 The field of Artificial Intelligence – right from its inception – has been particularly plagued by ‘bold prediction syndrome’, and often by leading practitioners who should know better. AI has received a lot of bad press 4 over the decades, and a lot of it deservedly so. How often have we groaned in despair at the latest ‘by the year-20xx, we will all have...(insert your own particular ‘hobby horse’ here – e. g.