Classifying Intelligence In Machines A Taxonomy Of Intelligent Control

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Classifying Intelligence in Machines: A Taxonomy of Intelligent Control

Author : Callum Wilson
Publisher : Infinite Study
ISBN 13 :
Total Pages : 19 pages
Book Rating : 4./5 ( download)

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Book Synopsis Classifying Intelligence in Machines: A Taxonomy of Intelligent Control by : Callum Wilson

Download or read book Classifying Intelligence in Machines: A Taxonomy of Intelligent Control written by Callum Wilson and published by Infinite Study. This book was released on with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quest to create machines that can solve problems as humans do leads us to intelligent control. This field encompasses control systems that can adapt to changes and learn to improve their actions—traits typically associated with human intelligence. In this work we seek to determine how intelligent these classes of control systems are by quantifying their level of adaptability and learning. First we describe the stages of development towards intelligent control and present a definition based on literature. Based on the key elements of this definition, we propose a novel taxonomy of intelligent control methods, which assesses the extent to which they handle uncertainties in three areas: the environment, the controller, and the goals. This taxonomy is applicable to a variety of robotic and other autonomous systems, which we demonstrate through several examples of intelligent control methods and their classifications. Looking at the spread of classifications based on this taxonomy can help researchers identify where control systems can be made more intelligent.

Intelligent Control

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Intelligent Control by : Fouad Sabry

Download or read book Intelligent Control written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-03 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Intelligent Control The term "intelligent control" refers to a category of control methods that make use of a number of different artificial intelligence computing methodologies, including neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation, and genetic algorithms. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Intelligent Control Chapter 2: Artificial Intelligence Chapter 3: Machine Learning Chapter 4: Reinforcement Learning Chapter 5: Neural Network Chapter 6: Adaptive Control Chapter 7: Computational Intelligence Chapter 8: Outline of Artificial Intelligence Chapter 9: Machine Learning Control Chapter 10: Data-driven Model (II) Answering the public top questions about intelligent control. (III) Real world examples for the usage of intelligent control in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of intelligent control' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of intelligent control.

Bioinspired Optimization Methods and Their Applications

Author : Bogdan Filipič
Publisher : Springer Nature
ISBN 13 : 3030637107
Total Pages : 322 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Bioinspired Optimization Methods and Their Applications by : Bogdan Filipič

Download or read book Bioinspired Optimization Methods and Their Applications written by Bogdan Filipič and published by Springer Nature. This book was released on 2020-11-16 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2020, held in Brussels, Belgium, in November 2020. The 24 full papers presented in this book were carefully reviewed and selected from 68 submissions. The papers in this BIOMA proceedings specialized in bioinspired algorithms as a means for solving the optimization problems and came in two categories: theoretical studies and methodology advancements on the one hand, and algorithm adjustments and their applications on the other. Due to the Corona pandemic BIOMA 2020 was held as a virtual event.

Machine Learning: Concepts, Methodologies, Tools and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1609608194
Total Pages : 2174 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Machine Learning: Concepts, Methodologies, Tools and Applications by : Management Association, Information Resources

Download or read book Machine Learning: Concepts, Methodologies, Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2011-07-31 with total page 2174 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Congress on Intelligent Systems

Author : Mukesh Saraswat
Publisher : Springer Nature
ISBN 13 : 9811691134
Total Pages : 914 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Congress on Intelligent Systems by : Mukesh Saraswat

Download or read book Congress on Intelligent Systems written by Mukesh Saraswat and published by Springer Nature. This book was released on 2022-06-30 with total page 914 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.

Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

Author : Essam Halim Houssein
Publisher : Springer Nature
ISBN 13 : 3030990796
Total Pages : 501 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems by : Essam Halim Houssein

Download or read book Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems written by Essam Halim Houssein and published by Springer Nature. This book was released on 2022-06-04 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material can be helpful for research from the evolutionary computation, artificial intelligence communities.

Intelligent Machines

Author : Clarence W. de Silva
Publisher : CRC Press
ISBN 13 : 9780849303302
Total Pages : 348 pages
Book Rating : 4.3/5 (33 download)

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Book Synopsis Intelligent Machines by : Clarence W. de Silva

Download or read book Intelligent Machines written by Clarence W. de Silva and published by CRC Press. This book was released on 2000-06-22 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is intelligence? Are truly intelligent machines a practical reality? If so, can they work in harmony with human beings and improve the quality of our lives? How are they designed, built, and controlled? The fact is that machines with brains are no longer the stuff of science fiction. Research focused on developing smarter, more flexible machines and new applications continues at a remarkable pace, yet for many people-even engineers-these and other questions linger. Intelligent Machines: Myths and Realities explores the technological, industrial, economic, social, and research issues related to intelligent machines. Nine chapters-authored by highly distinguished international authorities-take you from the fundamentals and general aspects of intelligent machines through current techniques and research, and finally to their practical aspects and applications. Written for both technical and nontechnical readers, Intelligent Machines presents complex issues in simple, qualitative terms, yet discusses important theoretical aspects, industrial applications, and design issues where they are appropriate. The result is an intriguing exploration of this revolutionary technology, its design, uses, limitations, and future prospects. Features

Intelligent Systems Design and Applications

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 3319763482
Total Pages : 1056 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer. This book was released on 2018-03-21 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on intelligent systems design and applications. It presents 100 selected papers from the 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017), which was held in Delhi, India from December 14 to 16, 2017. The ISDA is a premier conference in the field of Computational Intelligence and brings together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry and the real world. Including contributions by authors from over 30 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Pattern Recognition and Classification in Time Series Data

Author : Volna, Eva
Publisher : IGI Global
ISBN 13 : 1522505660
Total Pages : 282 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Pattern Recognition and Classification in Time Series Data by : Volna, Eva

Download or read book Pattern Recognition and Classification in Time Series Data written by Volna, Eva and published by IGI Global. This book was released on 2016-07-22 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.

Search Techniques in Intelligent Classification Systems

Author : Andrey V. Savchenko
Publisher : Springer
ISBN 13 : 3319305158
Total Pages : 82 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Search Techniques in Intelligent Classification Systems by : Andrey V. Savchenko

Download or read book Search Techniques in Intelligent Classification Systems written by Andrey V. Savchenko and published by Springer. This book was released on 2016-05-02 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence and the probabilistic neural network. An optimal approximate nearest neighbor search algorithm, which allows faster classification of databases is featured. Rough set theory, sequential analysis and granular computing are used to improve performance of the hierarchical classifiers. Practical examples in face identification (including deep neural networks), isolated commands recognition in voice control system and classification of visemes captured by the Kinect depth camera are included. This approach creates fast and accurate search procedures by using exact probability densities of applied dissimilarity measures. This book can be used as a guide for independent study and as supplementary material for a technically oriented graduate course in intelligent systems and data mining. Students and researchers interested in the theoretical and practical aspects of intelligent classification systems will find answers to: - Why conventional implementation of the naive Bayesian approach does not work well in image classification? - How to deal with insufficient performance of hierarchical classification systems? - Is it possible to prevent an exhaustive search of the nearest neighbor in a database?

Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities

Author : Moein, Sara
Publisher : IGI Global
ISBN 13 : 1522555811
Total Pages : 196 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities by : Moein, Sara

Download or read book Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities written by Moein, Sara and published by IGI Global. This book was released on 2018-05-25 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress in the diagnosis of heart disorders. Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities is a critical scholarly resource that examines the importance of automatic normalization and classification of electrocardiogram (ECG) signals of heart disorders. Featuring a wide range of topics such as common heart disorders, particle swarm optimization, and benchmarks functions, this publication is geared toward medical professionals, researchers, professionals, and students seeking current and relevant research on the categorization of ECG signals.

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Author : Teena Bagga
Publisher : CRC Press
ISBN 13 : 100063048X
Total Pages : 294 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics by : Teena Bagga

Download or read book Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics written by Teena Bagga and published by CRC Press. This book was released on 2022-08-08 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Cyber Security

Author : Xiaochun Yun
Publisher : Springer
ISBN 13 : 9811366217
Total Pages : 177 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Cyber Security by : Xiaochun Yun

Download or read book Cyber Security written by Xiaochun Yun and published by Springer. This book was released on 2019-01-01 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the refereed proceedings of the 15th International Annual Conference on Cyber Security, CNCERT 2018, held in Beijing, China, in August 2018. The 14 full papers presented were carefully reviewed and selected from 53 submissions. The papers cover the following topics: emergency response, mobile internet security, IoT security, cloud security, threat intelligence analysis, vulnerability, artificial intelligence security, IPv6 risk research, cybersecurity policy and regulation research, big data analysis and industrial security.

Third Congress on Intelligent Systems

Author : Sandeep Kumar
Publisher : Springer Nature
ISBN 13 : 9811992258
Total Pages : 836 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Third Congress on Intelligent Systems by : Sandeep Kumar

Download or read book Third Congress on Intelligent Systems written by Sandeep Kumar and published by Springer Nature. This book was released on 2023-03-11 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Third Congress on Intelligent Systems

Author : Sandeep Kumar
Publisher : Springer Nature
ISBN 13 : 9811993793
Total Pages : 850 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Third Congress on Intelligent Systems by : Sandeep Kumar

Download or read book Third Congress on Intelligent Systems written by Sandeep Kumar and published by Springer Nature. This book was released on 2023-05-18 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Artificial Intelligence and Sustainable Computing

Author : Manjaree Pandit
Publisher : Springer Nature
ISBN 13 : 9811916535
Total Pages : 757 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence and Sustainable Computing by : Manjaree Pandit

Download or read book Artificial Intelligence and Sustainable Computing written by Manjaree Pandit and published by Springer Nature. This book was released on 2022-11-15 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Advances in Computing and Information Technology

Author : David C. Wyld
Publisher : Springer
ISBN 13 : 3642225551
Total Pages : 548 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Computing and Information Technology by : David C. Wyld

Download or read book Advances in Computing and Information Technology written by David C. Wyld and published by Springer. This book was released on 2011-06-29 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Conference on Advances in Computing and Information Technology, ACITY 2011, held in Chennai, India, in July 2011. The 55 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers feature significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects.