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Combines new techniques of software automation, system adaptation, module selection, self-organization and automated discovery. Presents results from the IRIS Group--findings from American, European, Korean and Japanese projects on this emerging discipline. Explores methods of combining well-defined intelligent modules for integration into intelligent systems. Modules include intelligent algorithms and programs, neural networks and computing elements, fuzzy data comparators and correlators, spare distributed memories, expert systems, intelligent databases, associative and parallel processing units, and data acquisition, control and robot units.
Book Synopsis Neural and Intelligent Systems Integration by : Branko Souek
Download or read book Neural and Intelligent Systems Integration written by Branko Souek and published by Wiley-Interscience. This book was released on 1991-11-11 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines new techniques of software automation, system adaptation, module selection, self-organization and automated discovery. Presents results from the IRIS Group--findings from American, European, Korean and Japanese projects on this emerging discipline. Explores methods of combining well-defined intelligent modules for integration into intelligent systems. Modules include intelligent algorithms and programs, neural networks and computing elements, fuzzy data comparators and correlators, spare distributed memories, expert systems, intelligent databases, associative and parallel processing units, and data acquisition, control and robot units.
Book Synopsis Neural and Intelligent Systems Integration; Fifth and Sixth Generation Integrated Reasoning Information Systems by : Branko Soucek
Download or read book Neural and Intelligent Systems Integration; Fifth and Sixth Generation Integrated Reasoning Information Systems written by Branko Soucek and published by . This book was released on 1991 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt:
This book presents cutting-edge research on innovative human systems integration and human–machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the area of design, construction and operation of products, systems and services, including lifecycle development and human–technology interaction. The book describes advanced methodologies and tools for evaluating and improving interface usability, new models, and case studies and best practices in virtual, augmented and mixed reality systems, with a special focus on dynamic environments. It also discusses various factors concerning the human user, hardware, and artificial intelligence software. Based on the proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019), held on February 7–10, 2019, in San Diego, California, USA, the book also examines the forces that are currently shaping the nature of computing and cognitive systems, such as the need to reduce hardware costs; the importance of infusing intelligence and automation; the trend toward hardware miniaturization and power reduction; the need for a better assimilation of computation in the environment; and social concerns regarding access to computers and systems for people with special needs. It offers a timely survey and a practice-oriented reference guide for policy- and decision-makers, human factors engineers, systems developers and users alike.
Book Synopsis Intelligent Human Systems Integration 2019 by : Waldemar Karwowski
Download or read book Intelligent Human Systems Integration 2019 written by Waldemar Karwowski and published by Springer. This book was released on 2019-01-05 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research on innovative human systems integration and human–machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the area of design, construction and operation of products, systems and services, including lifecycle development and human–technology interaction. The book describes advanced methodologies and tools for evaluating and improving interface usability, new models, and case studies and best practices in virtual, augmented and mixed reality systems, with a special focus on dynamic environments. It also discusses various factors concerning the human user, hardware, and artificial intelligence software. Based on the proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019), held on February 7–10, 2019, in San Diego, California, USA, the book also examines the forces that are currently shaping the nature of computing and cognitive systems, such as the need to reduce hardware costs; the importance of infusing intelligence and automation; the trend toward hardware miniaturization and power reduction; the need for a better assimilation of computation in the environment; and social concerns regarding access to computers and systems for people with special needs. It offers a timely survey and a practice-oriented reference guide for policy- and decision-makers, human factors engineers, systems developers and users alike.
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 Synopsis Hybrid Intelligent Systems by : Larry R. Medsker
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.
Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.
Book Synopsis Neural Fuzzy Systems by : Ching Tai Lin
Download or read book Neural Fuzzy Systems written by Ching Tai Lin and published by Prentice Hall. This book was released on 1996 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Fuzzy Systems provides a comprehensive, up-to-date introduction to the basic theories of fuzzy systems and neural networks, as well as an exploration of how these two fields can be integrated to create Neural-Fuzzy Systems. It includes Matlab software, with a Neural Network Toolkit, and a Fuzzy System Toolkit.
Intelligent Human Systems Integration 2024 Proceedings of the 7th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, Università degli Studi di Palermo, Palermo, Italy, February 22- 24, 2024
Book Synopsis Intelligent Human Systems Integration (IHSI 2024): Integrating People and Intelligent Systems by : Tareq Ahram
Download or read book Intelligent Human Systems Integration (IHSI 2024): Integrating People and Intelligent Systems written by Tareq Ahram and published by AHFE Conference. This book was released on 2024-02-22 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Human Systems Integration 2024 Proceedings of the 7th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, Università degli Studi di Palermo, Palermo, Italy, February 22- 24, 2024
What Is Artificial Intelligence Systems Integration Making discrete software components, such as voice synthesizers, compatible with other components, such as common sense knowledgebases, is the core concept behind the integration of artificial intelligence systems. The goal of this endeavor is to develop artificial intelligence systems that are larger, more comprehensive, and more powerful. The primary approaches that have been suggested for integration are known as message routing or communication protocols. These protocols are utilized by the software components in order for them to connect with one another, typically by means of a middleware blackboard system. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial Intelligence Systems Integration Chapter 2: History of Artificial Intelligence Chapter 3: List of Artificial Intelligence Projects Chapter 4: Symbolic Artificial Intelligence Chapter 5: Hybrid Intelligent System Chapter 6: Cognitive Computing Chapter 7: Glossary of Artificial Intelligence Chapter 8: Situated Approach (Artificial Intelligence) Chapter 9: Outline of Artificial Intelligence Chapter 10: OpenCog (II) Answering the public top questions about artificial intelligence systems integration. (III) Real world examples for the usage of artificial intelligence systems integration in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence systems integration' 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 artificial intelligence systems integration.
Book Synopsis Artificial Intelligence Systems Integration by : Fouad Sabry
Download or read book Artificial Intelligence Systems Integration written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-23 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Artificial Intelligence Systems Integration Making discrete software components, such as voice synthesizers, compatible with other components, such as common sense knowledgebases, is the core concept behind the integration of artificial intelligence systems. The goal of this endeavor is to develop artificial intelligence systems that are larger, more comprehensive, and more powerful. The primary approaches that have been suggested for integration are known as message routing or communication protocols. These protocols are utilized by the software components in order for them to connect with one another, typically by means of a middleware blackboard system. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial Intelligence Systems Integration Chapter 2: History of Artificial Intelligence Chapter 3: List of Artificial Intelligence Projects Chapter 4: Symbolic Artificial Intelligence Chapter 5: Hybrid Intelligent System Chapter 6: Cognitive Computing Chapter 7: Glossary of Artificial Intelligence Chapter 8: Situated Approach (Artificial Intelligence) Chapter 9: Outline of Artificial Intelligence Chapter 10: OpenCog (II) Answering the public top questions about artificial intelligence systems integration. (III) Real world examples for the usage of artificial intelligence systems integration in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence systems integration' 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 artificial intelligence systems integration.
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy
Book Synopsis Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems by : Tareq Ahram, Waldemar Karwowski, Pepetto Di Bucchianico, Redha Taiar, Luca Casarotto and Pietro Costa
Download or read book Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems written by Tareq Ahram, Waldemar Karwowski, Pepetto Di Bucchianico, Redha Taiar, Luca Casarotto and Pietro Costa and published by AHFE International. This book was released on 2022-02-24 with total page 1411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy
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 Synopsis Computationally Intelligent Systems and their Applications by : Jagdish Chand Bansal
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.
This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.
Book Synopsis Artificial Intelligence Systems Based on Hybrid Neural Networks by : Michael Zgurovsky
Download or read book Artificial Intelligence Systems Based on Hybrid Neural Networks written by Michael Zgurovsky and published by Springer Nature. This book was released on 2020-09-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.
