Intelligent Systems Approximation By Artificial Neural Networks

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Intelligent Systems: Approximation by Artificial Neural Networks

Author : George A. Anastassiou
Publisher : Springer Science & Business Media
Page : 113 pages
File Size : 41,8 Mb
Release : 2011-06-02
Category : Technology & Engineering
ISBN : 9783642214318

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Intelligent Systems: Approximation by Artificial Neural Networks by George A. Anastassiou Pdf

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the "right" sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate and multivariate cases over bounded or unbounded domains. This is given via inequalities and with the use of modulus of continuity of the involved function or its higher order derivative. We examine the real and complex cases. For the convenience of the reader, the chapters of this book are written in a self-contained style. This treatise relies on author's last two years of related research work. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries.

Intelligent Systems II: Complete Approximation by Neural Network Operators

Author : George A. Anastassiou
Publisher : Springer
Page : 712 pages
File Size : 46,6 Mb
Release : 2015-06-23
Category : Technology & Engineering
ISBN : 9783319205052

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Intelligent Systems II: Complete Approximation by Neural Network Operators by George A. Anastassiou Pdf

This monograph is the continuation and completion of the monograph, “Intelligent Systems: Approximation by Artificial Neural Networks” written by the same author and published 2011 by Springer. The book you hold in hand presents the complete recent and original work of the author in approximation by neural networks. Chapters are written in a self-contained style and can be read independently. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The book’s results are expected to find applications in many areas of applied mathematics, computer science and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science and engineering libraries.

Computational Intelligence Systems and Applications

Author : Marian B. Gorzalczany
Publisher : Physica
Page : 367 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783790818017

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Computational Intelligence Systems and Applications by Marian B. Gorzalczany Pdf

Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these systems have very little power in dealing with imprecise, uncertain and incomplete data and information which significantly contribute to the description of many real world problems, both physical systems and processes as well as mechanisms of decision making. Moreover, there are many situations where the expert domain knowledge (the basis for many symbolic AI systems) is not sufficient for the design of intelligent systems, due to incompleteness of the existing knowledge, problems caused by different biases of human experts, difficulties in forming rules, etc. In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge "buried" in past-experience expert) and numerical data. A study of huge amounts of these data (collected in databases) and the synthesizing of the knowledge "encoded" in them (also referred to as knowledge discovery in data or data mining), can significantly improve the performance of the intelligent systems designed.

Innovations in Intelligent Systems

Author : Ajith Abraham,Berend Jan van der Zwaag
Publisher : Springer
Page : 486 pages
File Size : 50,7 Mb
Release : 2013-06-29
Category : Technology & Engineering
ISBN : 9783540396154

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Innovations in Intelligent Systems by Ajith Abraham,Berend Jan van der Zwaag Pdf

Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.

Advances in Intelligent Systems

Author : Francesco Carlo Morabito
Publisher : IOS Press
Page : 566 pages
File Size : 50,6 Mb
Release : 1997
Category : Computers
ISBN : 9051993552

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Advances in Intelligent Systems by Francesco Carlo Morabito Pdf

Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.

Intelligent Systems

Author : Cornelius T. Leondes
Publisher : CRC Press
Page : 2400 pages
File Size : 47,8 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781420040814

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Intelligent Systems by Cornelius T. Leondes Pdf

Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.

Intelligent Systems

Author : Bogdan M. Wilamowski,J. David Irwin
Publisher : CRC Press
Page : 545 pages
File Size : 49,6 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781351834315

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Intelligent Systems by Bogdan M. Wilamowski,J. David Irwin Pdf

The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components. Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control. Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems: Addresses various aspects of neural networks and fuzzy systems Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations Discusses several applications that deal with methods of computational intelligence Other volumes in the set: Fundamentals of Industrial Electronics Power Electronics and Motor Drives Control and Mechatronics Industrial Communication Systems

Intelligent Systems

Author : Robert J. Schalkoff
Publisher : Jones & Bartlett Learning
Page : 787 pages
File Size : 44,7 Mb
Release : 2011-08-24
Category : Computers
ISBN : 9780763780173

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Intelligent Systems by Robert J. Schalkoff Pdf

Artificial Intelligence has changed significantly in recent years and many new resources and approaches are now available to explore and implement this important technology. Intelligent Systems: Principles, Paradigms, and Pragmatics takes a modern, 21st-century approach to the concepts of Artificial Intelligence and includes the latest developments, developmental tools, programming, and approaches related to AI. The author is careful to make the important distinction between theory and practice, and focuses on a broad core of technologies, providing students with an accessible and comprehensive introduction to key AI topics.

Handbook on Neural Information Processing

Author : Monica Bianchini,Marco Maggini,Lakhmi C. Jain
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 55,8 Mb
Release : 2013-04-12
Category : Technology & Engineering
ISBN : 9783642366574

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Handbook on Neural Information Processing by Monica Bianchini,Marco Maggini,Lakhmi C. Jain Pdf

This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.

Innovations in Intelligent Machines -3

Author : Ivan Jordanov,Lakhmi C Jain
Publisher : Springer
Page : 158 pages
File Size : 42,6 Mb
Release : 2012-09-05
Category : Technology & Engineering
ISBN : 9783642321771

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Innovations in Intelligent Machines -3 by Ivan Jordanov,Lakhmi C Jain Pdf

This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experimental and real-world investigations that demonstrate contemporary achievements and advances in the area of intelligent systems. This book will prove as a valuable source of up-to-date theoretical and application oriented research in intelligent systems for researchers and postgraduate students.

Rough Sets and Intelligent Systems Paradigms

Author : Marzena Kryszkiewicz,Chris Cornelis,Davide Ciucci,Jesús Medina-Moreno,Hiroshi Motoda,Zbigniew Ras
Publisher : Springer
Page : 394 pages
File Size : 45,6 Mb
Release : 2014-06-13
Category : Computers
ISBN : 9783319087290

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Rough Sets and Intelligent Systems Paradigms by Marzena Kryszkiewicz,Chris Cornelis,Davide Ciucci,Jesús Medina-Moreno,Hiroshi Motoda,Zbigniew Ras Pdf

This book constitutes the refereed proceedings of the 23rd Australasian Joint Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014. RSEISP 2014 was held along with the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2014, as a major part of the 2014 Joint Rough Set Symposium, JRS 2014. JRS 2014 received 40 revised full papers and 37 revised short papers which were carefully reviewed and selected from 120 submissions and presented in two volumes. This volume contains the papers accepted for the conference RSEISP 2014, as well as the three invited papers presented at the conference. The papers are organized in topical sections on plenary lecture and tutorial papers; foundations of rough set theory; granular computing and covering-based rough sets; applications of rough sets; induction of decision rules - theory and practice; knowledge discovery; spatial data analysis and spatial databases; information extraction from images.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Author : Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito
Publisher : Academic Press
Page : 352 pages
File Size : 45,5 Mb
Release : 2018-10-30
Category : Science
ISBN : 9780128162507

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Artificial Intelligence in the Age of Neural Networks and Brain Computing by Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito Pdf

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN) Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks

Soft Computing and Intelligent Systems Design

Author : Fakhreddine O. Karray,Clarence W. De Silva
Publisher : Addison Wesley Longman
Page : 592 pages
File Size : 44,5 Mb
Release : 2004
Category : Computers
ISBN : UOM:39015059578040

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Soft Computing and Intelligent Systems Design by Fakhreddine O. Karray,Clarence W. De Silva Pdf

Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.

Soft Computing and Intelligent Systems

Author : Madan M. Gupta
Publisher : Elsevier
Page : 663 pages
File Size : 42,6 Mb
Release : 1999-10-28
Category : Computers
ISBN : 9780080541334

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Soft Computing and Intelligent Systems by Madan M. Gupta Pdf

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science.This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Recent Advances in Intelligent Control Systems

Author : Wen Yu
Publisher : Springer Science & Business Media
Page : 381 pages
File Size : 51,7 Mb
Release : 2009-05-27
Category : Technology & Engineering
ISBN : 9781848825482

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Recent Advances in Intelligent Control Systems by Wen Yu Pdf

"Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.