Machine Intelligence and Soft Computing

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Publisher : Springer Nature
ISBN 13 : 981159516X
Total Pages : 504 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Machine Intelligence and Soft Computing by : Debnath Bhattacharyya

Download or read book Machine Intelligence and Soft Computing written by Debnath Bhattacharyya and published by Springer Nature. This book was released on 2021-01-20 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Machine Intelligence and Soft Computing

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Publisher : Springer Nature
ISBN 13 : 9811683646
Total Pages : 198 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Machine Intelligence and Soft Computing by : Debnath Bhattacharyya

Download or read book Machine Intelligence and Soft Computing written by Debnath Bhattacharyya and published by Springer Nature. This book was released on 2022-02-22 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2021), organized by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India during 22 – 24 September 2021. The topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Neuro-fuzzy and Soft Computing

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Author :
Publisher : Pearson Education
ISBN 13 :
Total Pages : 658 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Neuro-fuzzy and Soft Computing by : Jyh-Shing Roger Jang

Download or read book Neuro-fuzzy and Soft Computing written by Jyh-Shing Roger Jang and published by Pearson Education. This book was released on 1997 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.

Software Agents and Soft Computing: Towards Enhancing Machine Intelligence

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Author :
Publisher : Lecture Notes in Artificial Intelligence
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Software Agents and Soft Computing: Towards Enhancing Machine Intelligence by : Hyacinth S. Nwana

Download or read book Software Agents and Soft Computing: Towards Enhancing Machine Intelligence written by Hyacinth S. Nwana and published by Lecture Notes in Artificial Intelligence. This book was released on 1997-01-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully arranged book is mainly based on work done by the Intelligent Systems Research Group at BT Laboratories, essentially in cooperation with internationally leading scientists from outside BT. It opens with a detailed introduction surveying the area and putting the work presented in context. Conceptual issues surrounding intelligent agents and multi-agent systems are investigated and the practical and industrial applicability of this exciting new technology is demonstrated. One section is devoted to the rationale, philosophy, and techniques of the emerging area of soft computing. The final section outlines the broader context in dealing with machine intelligence in general and intelligent software systems in particular.

Artificial Intelligence and Soft Computing

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Author :
Publisher : CRC Press
ISBN 13 : 1351835629
Total Pages : 503 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Amit Konar

Download or read book Artificial Intelligence and Soft Computing written by Amit Konar and published by CRC Press. This book was released on 2018-10-08 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.

Artificial Intelligence and Soft Computing

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Author :
Publisher : Springer
ISBN 13 : 3642293476
Total Pages : 700 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2012-04-23 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

Illustrated Computational Intelligence

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Publisher : Springer Nature
ISBN 13 : 9811595895
Total Pages : 225 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Illustrated Computational Intelligence by : Priti Srinivas Sajja

Download or read book Illustrated Computational Intelligence written by Priti Srinivas Sajja and published by Springer Nature. This book was released on 2020-11-16 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Machine Intelligence and Soft Computing

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Author :
Publisher :
ISBN 13 : 9789811595172
Total Pages : 0 pages
Book Rating : 4.5/5 (951 download)

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Book Synopsis Machine Intelligence and Soft Computing by : Debnath Bhattacharyya

Download or read book Machine Intelligence and Soft Computing written by Debnath Bhattacharyya and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan's Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Artificial Intelligence and Soft Computing

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Author :
Publisher : CRC Press
ISBN 13 : 9781420049138
Total Pages : 834 pages
Book Rating : 4.0/5 (491 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Amit Konar

Download or read book Artificial Intelligence and Soft Computing written by Amit Konar and published by CRC Press. This book was released on 2018-10-08 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.

Artificial Intelligence and Soft Computing

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Author :
Publisher : Springer
ISBN 13 : 3319071769
Total Pages : 822 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2014-05-22 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and Their Applications, Fuzzy Systems and Their Applications, Evolutionary Algorithms and Their Applications, Classification and Estimation, Computer Vision, Image and Speech Analysis and Special Session 3: Intelligent Methods in Databases. The 71 papers in the second volume are organized in the following subjects: Data Mining, Bioinformatics, Biometrics and Medical Applications, Agent Systems, Robotics and Control, Artificial Intelligence in Modeling and Simulation, Various Problems of Artificial Intelligence, Special Session 2: Machine Learning for Visual Information Analysis and Security, Special Session 1: Applications and Properties of Fuzzy Reasoning and Calculus and Clustering.

Advances in Soft Computing

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Publisher : Springer
ISBN 13 : 3030028372
Total Pages : 367 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Advances in Soft Computing by : Félix Castro

Download or read book Advances in Soft Computing written by Félix Castro and published by Springer. This book was released on 2018-12-31 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017. The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections: Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.

Soft Computing for Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 9811610487
Total Pages : 653 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Soft Computing for Intelligent Systems by : Nikhil Marriwala

Download or read book Soft Computing for Intelligent Systems written by Nikhil Marriwala and published by Springer Nature. This book was released on 2021-06-22 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.

Advances in Machine Intelligence and Soft-Computing

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Publisher :
ISBN 13 : 9780964345638
Total Pages : 323 pages
Book Rating : 4.3/5 (456 download)

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Book Synopsis Advances in Machine Intelligence and Soft-Computing by : Paul P. Wang

Download or read book Advances in Machine Intelligence and Soft-Computing written by Paul P. Wang and published by . This book was released on 1997-01-01 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Human Communication Technology

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Publisher : John Wiley & Sons
ISBN 13 : 1119752159
Total Pages : 498 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Human Communication Technology by : R. Anandan

Download or read book Human Communication Technology written by R. Anandan and published by John Wiley & Sons. This book was released on 2021-10-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: HUMAN COMMUNICATION TECHNOLOGY A unique book explaining how perception, location, communication, cognition, computation, networking, propulsion, integration of federated Internet of Robotic Things (IoRT) and digital platforms are important components of new-generation IoRT applications through continuous, real-time interaction with the world. The 16 chapters in this book discuss new architectures, networking paradigms, trustworthy structures, and platforms for the integration of applications across various business and industrial domains that are needed for the emergence of intelligent things (static or mobile) in collaborative autonomous fleets. These new apps speed up the progress of paradigms of autonomous system design and the proliferation of the Internet of Robotic Things (IoRT). Collaborative robotic things can communicate with other things in the IoRT, learn independently, interact securely with the world, people, and other things, and acquire characteristics that make them self-maintaining, self-aware, self-healing, and fail-safe operational. Due to the ubiquitous nature of collaborative robotic things, the IoRT, which binds together the sensors and the objects of robotic things, is gaining popularity. Therefore, the information contained in this book will provide readers with a better understanding of this interdisciplinary field. Audience Researchers in various fields including computer science, IoT, artificial intelligence, machine learning, and big data analytics.

Artificial Intelligence and Soft Computing, Part II

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Publisher : Springer Science & Business Media
ISBN 13 : 3642132316
Total Pages : 728 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Artificial Intelligence and Soft Computing, Part II by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing, Part II written by Leszek Rutkowski and published by Springer Science & Business Media. This book was released on 2010-06 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 10th International Conference on Artificial Intelligence and Soft Computing, ICAISC’2010, held in Zakopane, Poland in June 13-17, 2010. The articles are organized in topical sections on Fuzzy Systems and Their Applications; Data Mining, Classification and Forecasting; Image and Speech Analysis; Bioinformatics and Medical Applications (Volume 6113) together with Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; Agent System, Robotics and Control; Various Problems aof Artificial Intelligence (Volume 6114).

Soft Computing in Machine Learning

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Publisher : Springer
ISBN 13 : 331905533X
Total Pages : 117 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Soft Computing in Machine Learning by : Sang-Yong Rhee

Download or read book Soft Computing in Machine Learning written by Sang-Yong Rhee and published by Springer. This book was released on 2014-07-08 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.

Artificial Intelligence and Soft Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 3030615340
Total Pages : 547 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer Nature. This book was released on 2020-10-20 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: ​neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control. *The conference was held virtually due to the COVID-19 pandemic.