Computational Intelligence For Knowledge Based System Design
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Intelligent Knowledge Based Systems
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Author : Cornelius T. Leondes
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-04-28
Intelligent Knowledge Based Systems written by Cornelius T. Leondes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-28 with Computers categories.
For most of our history the wealth of a nation was limited by the size and stamina of the work force. Today, national wealth is measured in intellectual capital. Nations possessing skillful people in such diverse areas as science, medicine, business, and engineering produce innovations that drive the nation to a higher quality of life. To better utilize these valuable resources, intelligent, knowledge-based systems technology has evolved at a rapid and significantly expanding rate. Reflecting the most fascinating AI-based research and its broad practical applications, intelligent, knowledge-based systems technology is being utilized by nations to improve their medical care, advance their engineering technology, and increase their manufacturing productivity, as well as play a significant role in a very wide variety of other areas of activity of substantive significance. Today, in the beginning of the 21st century, it is difficult to imagine the development of the modern world without extensive use of the AI information technology that is rapidly transforming the global, knowledge- based economy as well as entire societies. The breadth of the major application areas of intelligent, knowledge-based systems technology is very impressive. These include, among other areas: Agriculture, Business, Chemistry, Communications, Computer Systems, Education, Electronics, Engineering, Environment, Geology, Image Processing, Information Management, Law, Manufacturing, Mathematics, Medicine, Meteorology, Military, Mining, Power Systems, Science, Space Technology, and Transportation. The great breadth and expanding significance of this field on the international scene require a multi-volume, major reference work for an adequately substantive treatment of the subject, "Intelligent Knowledge-Based Systems: Business and Technology in The New Millennium." This work consists of the following distinctly titled and well integrated volumes. Volume I. Knowledge-Based Systems; Volume II. Information Technology; Volume III.Expert and Agent Systems; Volume IV.Intelligent Systems; Volume V.Neural Networks. This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The Volumes: Volume 1, Knowledge-Based Systems, addresses the basic question of how accumulated data and staff expertise from business operations can be abstracted into useful knowledge, and how such knowledge can be applied to ongoing operations. The wide range of areas represented includes product innovation and design, intelligent database exploitation, and business model analysis. (Eleven chapters) Volume 2, Information Technology, addresses the important question of how data should be stored and used to maximize its overall value. Case studies examine a wide variety of application areas including product development, manufacturing, product management, and product pricing. (Ten chapters) Volume 3, Expert and Agent Systems, considers such application areas as image databases, business process monitoring, e-commerce, and production planning and scheduling, offering a wide range of perspectives and business-function concentrations to stimulate readers' innovative thought. (Ten chapters) Volume 4, Intelligent Systems, discusses applications in such areas as mission-critical functions, business forecasting, medical patient care, and product design and development. (Nine chapters) Volume 5, Neural Networks, Fuzzy Theory, and Genetic Algorithm Techniques, explores applications in such areas as bioinformatics, product life-cycle cost estimating, product development, computer-aided design, product assembly, and facility location. (Ten chapters) The discussions in these volumes provide a wealth of practical ideas intended to foster innovation in thought and, consequently, in the further development of technology. Together, they comprise a significant and uniquely comprehensive reference source for research workers, practitioners, computer scientists, academics, students, and others on the international scene for years to come.
Computational Intelligence In Software Engineering
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Author : Witold Pedrycz
language : en
Publisher:
Release Date : 2004
Computational Intelligence In Software Engineering written by Witold Pedrycz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computational intelligence categories.
Computational Intelligence For Knowledge Based System Design
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Author : Eyke H Llermeier
language : en
Publisher:
Release Date : 2011-03-13
Computational Intelligence For Knowledge Based System Design written by Eyke H Llermeier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-13 with categories.
Computational Intelligence Paradigms
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Author : Mika Sato-Ilic
language : en
Publisher: Springer
Release Date : 2008-06-17
Computational Intelligence Paradigms written by Mika Sato-Ilic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-17 with Technology & Engineering categories.
System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust. The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.
Computational Intelligence And Its Applications Evolutionary Computation Fuzzy Logic Neural Network And Support Vector Machine Techniques
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Author : Hung Tan Nguyen
language : en
Publisher: World Scientific
Release Date : 2012-07-17
Computational Intelligence And Its Applications Evolutionary Computation Fuzzy Logic Neural Network And Support Vector Machine Techniques written by Hung Tan Nguyen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-17 with Computers categories.
This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches./a
Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges
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Author : Ilaria Tiddi
language : en
Publisher:
Release Date : 2020
Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges written by Ilaria Tiddi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.
Computational Intelligence For Knowledge Based System Design
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Author : Eyke Hüllermeier
language : en
Publisher: Springer
Release Date : 2010-06-30
Computational Intelligence For Knowledge Based System Design written by Eyke Hüllermeier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-30 with Computers categories.
The book constitutes the refereed proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2010, held in Dortmund, Germany from June 28 - July 2, 2010. The 77 revised full papers were carefully reviewed and selected from 320 submissions and reflect the richness of research in the field of Computational Intelligence and represent developments on topics as: machine learning, data mining, pattern recognition, uncertainty handling, aggregation and fusion of information as well as logic and knowledge processing.
Knowledge Driven Computing
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Author : Carlos Cotta
language : en
Publisher: Springer
Release Date : 2008-07-19
Knowledge Driven Computing written by Carlos Cotta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-19 with Technology & Engineering categories.
The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven Computing approaches. More precisely, the ultimate goal has been to collect new knowledge representation, processing and computing paradigms which could be useful to practitioners involved in the area of discussion. To this end, contributions covering both theoretical aspects and practical solutions were preferred.
Intelligent Knowledge Based Systems In Electrical Power Engineering
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Author : J.R. McDonald
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Intelligent Knowledge Based Systems In Electrical Power Engineering written by J.R. McDonald and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.
Practical Knowledge Based Systems In Conceptual Design
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Author : John C. Miles
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Practical Knowledge Based Systems In Conceptual Design written by John C. Miles and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Conceptual Design is one of the few areas of Engineering Design where computers have yet to make an impact. With the development of Knowledge Based Systems it is now possible to rectify this situation. This publication deals with the use of Knowledge Based Systems (KBS) as tools for conceptual design. Included are neglected aspects such as evaluation and user needs. Practical Knowledge Based Systems in Conceptual Design is based on the authors' experience of developing KBS for use in civil engineering, an area of industrial application which is recognised as being one of great potential. The methodology has been tried and tested by designers. Examples of systems which have been developed to solve specific design problems are included.