Intelligent Random Walk An Approach Based On Learning Automata

Author : Ali Mohammad Saghiri
Publisher : Springer
ISBN 13 : 303010883X
Total Pages : 55 pages
Book Rating : 4.30/5 ( download)

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Download or read book Intelligent Random Walk: An Approach Based on Learning Automata written by Ali Mohammad Saghiri and published by Springer. This book was released on 2019-01-02 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.

Author : Durga Prasad Mohapatra
Publisher : Springer Science & Business Media
ISBN 13 : 8132216652
Total Pages : 1314 pages
Book Rating : 4.50/5 ( download)

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Download or read book Intelligent Computing, Networking, and Informatics written by Durga Prasad Mohapatra and published by Springer Science & Business Media. This book was released on 2013-12-17 with total page 1314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is composed of the Proceedings of the International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2013), held at Central Institute of Technology, Raipur, Chhattisgarh, India during June 14–16, 2013. The book records current research articles in the domain of computing, networking, and informatics. The book presents original research articles, case-studies, as well as review articles in the said field of study with emphasis on their implementation and practical application. Researchers, academicians, practitioners, and industry policy makers around the globe have contributed towards formation of this book with their valuable research submissions.

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 3642320635
Total Pages : 500 pages
Book Rating : 4.37/5 ( download)

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Download or read book Intelligent Informatics written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2012-08-12 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the first International Symposium on Intelligent Informatics (ISI'12) held in Chennai, India during August 4-5, 2012. The 54 revised papers presented were carefully reviewed and selected from 165 initial submissions. The papers are organized in topical sections on data mining, clustering and intelligent information systems, multi agent systems, pattern recognition, signal and image processing and, computer networks and distributed systems. The book is directed to the researchers and scientists engaged in various fields of intelligent informatics.

Author : Tai-hoon Kim
Publisher : Springer
ISBN 13 : 3642164447
Total Pages : 675 pages
Book Rating : 4.46/5 ( download)

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Download or read book Security-Enriched Urban Computing and Smart Grid written by Tai-hoon Kim and published by Springer. This book was released on 2010-09-09 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security-enriched urban computing and smart grids are areas that attracted many a- demic and industry professionals to research and develop. The goal of this conference was to bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of urban computing and the smart grid. This conference includes the following special sessions: Signal Processing, Image Processing, Pattern Recognition and Communications (SIPC 2010), Networking, Fault-tolerance and Security For Distributed Computing Systems (NFSDCS 2010), Security Technology Application (STA 2010), Electric Transportation (ElecTrans 2010), Techniques of Bi-directional Power Computing in High Voltage Power Supply (TBPC 2010), Low Power IT and Applications (LPITA 2010), Computational Intel- gence and Soft Computing (CISC 2010), Distributed Computing and Sensor Networks (DCSN 2010), Advanced Fusion IT (AFIT 2010), Social Media and Social Netwo- ing (SMSN 2010), Software Engineering and Medical Information Engineering (SEMIE 2010), Human-Centered Advanced Research/Education (HuCARE 2010), Database Integrity and Security (DIS 2010), Ubiquitous IT Application (UITA 2010) and Smart Grid Applications (SGA 2010). We would like to express our gratitude to all of the authors of the submitted papers and to all attendees, for their contributions and participation. We believe in the need for continuing this undertaking in the future.

Author : JunQi Zhang
Publisher : John Wiley & Sons
ISBN 13 : 1394188528
Total Pages : 276 pages
Book Rating : 4.29/5 ( download)

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Download or read book Learning Automata and Their Applications to Intelligent Systems written by JunQi Zhang and published by John Wiley & Sons. This book was released on 2023-11-10 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. As noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. The existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, ranking, and scheduling. They are well-discussed. Future research directions to promote an intelligent system are suggested. Written by two highly qualified academics with significant experience in the field, Learning Automata and Their Applications to Intelligent Systems covers such topics as: Mathematical analysis of the behavior of learning automata, along with suitable learning algorithms Two application-oriented learning automata: one to discover and track spatiotemporal event patterns, and the other to solve stochastic searching on a line Demonstrations of two pioneering variants of Optimal Computing Budge Allocation (OCBA) methods and how to combine learning automata with ordinal optimization How to achieve significantly faster convergence and higher accuracy than classical pursuit schemes via lower computational complexity of updating the state probability A timely text in a rapidly developing field, Learning Automata and Their Applications to Intelligent Systems is an essential resource for researchers in machine learning, engineering, operation, and management. The book is also highly suitable for graduate level courses on machine learning, soft computing, reinforcement learning and stochastic optimization.

Author : Javidan Kazemi Kordestani
Publisher : Springer Nature
ISBN 13 : 3030762912
Total Pages : 340 pages
Book Rating : 4.19/5 ( download)

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Download or read book Advances in Learning Automata and Intelligent Optimization written by Javidan Kazemi Kordestani and published by Springer Nature. This book was released on 2021-06-23 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA's application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed. Highlighted benefits • Presents the latest advances in learning automata-based optimization approaches. • Addresses the memetic models of learning automata for solving NP-hard problems. • Discusses the application of learning automata for behavior control in evolutionary computation in detail. • Gives the fundamental principles and analyses of the different concepts associated with multi-population methods for dynamic optimization problems.

Author : Alireza Rezvanian
Publisher : Springer
ISBN 13 : 3030107671
Total Pages : 329 pages
Book Rating : 4.73/5 ( download)

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Download or read book Learning Automata Approach for Social Networks written by Alireza Rezvanian and published by Springer. This book was released on 2019-01-22 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to identify behavioral patterns in interactions among individuals and in the networks’ evolution, and to develop the algorithms required for meaningful analysis. As an emerging artificial intelligence research area, learning automata (LA) has already had a significant impact in many areas of social networks. Here, the research areas related to learning and social networks are addressed from bibliometric and network analysis perspectives. In turn, the second part of the book highlights a range of LA-based applications addressing social network problems, from network sampling, community detection, link prediction, and trust management, to recommender systems and finally influence maximization. Given its scope, the book offers a valuable guide for all researchers whose work involves reinforcement learning, social networks and/or artificial intelligence.

Author : E. Priya
Publisher : Springer Nature
ISBN 13 : 9811561419
Total Pages : 290 pages
Book Rating : 4.12/5 ( download)

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Download or read book Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems written by E. Priya and published by Springer Nature. This book was released on 2020-09-21 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.

Author : Ngoc Thanh Nguyen
Publisher : Springer
ISBN 13 : 3662445093
Total Pages : 206 pages
Book Rating : 4.99/5 ( download)

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Download or read book Transactions on Computational Collective Intelligence XIV written by Ngoc Thanh Nguyen and published by Springer. This book was released on 2014-08-16 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 14th issue contains 9 carefully selected and thoroughly revised contributions.

Author : Mieczyslaw A. Klopotek
Publisher : Springer Science & Business Media
ISBN 13 : 354033520X
Total Pages : 522 pages
Book Rating : 4.07/5 ( download)

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Download or read book Intelligent Information Processing and Web Mining written by Mieczyslaw A. Klopotek and published by Springer Science & Business Media. This book was released on 2006-06-07 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers, presented at the international conference on Intelligent Information Processing and Web Mining Conference IIS:IIPWM'06, organized in Ustro (Poland), 2006. The submitted papers cover new computing paradigms, among others in biologically motivated methods, advanced data analysis, new machine learning paradigms, natural language processing, new optimization technologies, applied data mining using statistical and non-standard approaches.