Artificial Intelligence And Computational Intelligence

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Advanced Solutions in Power Systems

Author : Mircea Eremia,Chen-Ching Liu,Abdel-Aty Edris
Publisher : John Wiley & Sons
Page : 1072 pages
File Size : 45,5 Mb
Release : 2016-09-27
Category : Science
ISBN : 9781119175353

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Advanced Solutions in Power Systems by Mircea Eremia,Chen-Ching Liu,Abdel-Aty Edris Pdf

Provides insight on both classical means and new trends in the application of power electronic and artificial intelligence techniques in power system operation and control This book presents advanced solutions for power system controllability improvement, transmission capability enhancement and operation planning. The book is organized into three parts. The first part describes the CSC-HVDC and VSC-HVDC technologies, the second part presents the FACTS devices, and the third part refers to the artificial intelligence techniques. All technologies and tools approached in this book are essential for power system development to comply with the smart grid requirements. Discusses detailed operating principles and diagrams, theory of modeling, control strategies and physical installations around the world of HVDC and FACTS systems Covers a wide range of Artificial Intelligence techniques that are successfully applied for many power system problems, from planning and monitoring to operation and control Each chapter is carefully edited, with drawings and illustrations that helps the reader to easily understand the principles of operation or application Advanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence is written for graduate students, researchers in transmission and distribution networks, and power system operation. This book also serves as a reference for professional software developers and practicing engineers.

Illustrated Computational Intelligence

Author : Priti Srinivas Sajja
Publisher : Springer Nature
Page : 225 pages
File Size : 49,8 Mb
Release : 2020-11-16
Category : Technology & Engineering
ISBN : 9789811595899

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Illustrated Computational Intelligence by Priti Srinivas Sajja Pdf

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.

Artificial Intelligence and Computational Intelligence

Author : Hepu Deng,Lanzhou Wang,Fu Lee Wang,Jingsheng Lei
Publisher : Springer Science & Business Media
Page : 755 pages
File Size : 54,9 Mb
Release : 2009-10-26
Category : Computers
ISBN : 9783642052521

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Artificial Intelligence and Computational Intelligence by Hepu Deng,Lanzhou Wang,Fu Lee Wang,Jingsheng Lei Pdf

This book constitutes the refereed proceedings of the International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009, held in Shanghai, China, on November 7-8, 2009. The 79 revised full papers presented in this volume were carefully reviewed and selected from 1203 submissions. The papers are organized in topical sections on support vector machine, rough set theory, particle swarm optimization, neural computation, intelligent agents and systems, information security, immune computation, genetic algorithms, fuzzy computation, biological computing, applications of computational intelligence, ant colony algorithm, robotics, pattern recognition, neural networks, natural language processing, machine vision, machine learning, logic reasoning and theorem-proving, knowledge representation and acquisition, intelligent signal processing, intelligent scheduling, intelligent information retrieval, intelligent information fusion, intelligent image processing, heuristic searching methods, fuzzy logic and soft computing, distributed AI and agents, data mining and knowledge discovering, applications of artificial intelligence, and others.

Computational Sciences and Artificial Intelligence in Industry

Author : Tero Tuovinen,Jacques Periaux,Pekka Neittaanmäki
Publisher : Springer Nature
Page : 278 pages
File Size : 53,5 Mb
Release : 2021-08-19
Category : Technology & Engineering
ISBN : 9783030707873

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Computational Sciences and Artificial Intelligence in Industry by Tero Tuovinen,Jacques Periaux,Pekka Neittaanmäki Pdf

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.

Computational Intelligence

Author : Amit Konar
Publisher : Springer Science & Business Media
Page : 708 pages
File Size : 45,7 Mb
Release : 2006-01-16
Category : Technology & Engineering
ISBN : 9783540273356

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Computational Intelligence by Amit Konar Pdf

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.

Artificial Intelligence

Author : David L. Poole,Alan K. Mackworth
Publisher : Cambridge University Press
Page : 821 pages
File Size : 47,9 Mb
Release : 2017-09-25
Category : Computers
ISBN : 9781107195394

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Artificial Intelligence by David L. Poole,Alan K. Mackworth Pdf

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Artificial Intelligence and Computational Intelligence

Author : Fu Lee Wang,Hepu Deng,Jingsheng Lei
Publisher : Springer
Page : 524 pages
File Size : 49,9 Mb
Release : 2011-03-13
Category : Electronic
ISBN : 3642165311

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Artificial Intelligence and Computational Intelligence by Fu Lee Wang,Hepu Deng,Jingsheng Lei Pdf

Introduction to Artificial Intelligence

Author : Mariusz Flasiński
Publisher : Springer
Page : 321 pages
File Size : 42,7 Mb
Release : 2016-08-31
Category : Computers
ISBN : 9783319400228

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Introduction to Artificial Intelligence by Mariusz Flasiński Pdf

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.

Hybrid Computational Intelligence

Author : Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
Publisher : Academic Press
Page : 250 pages
File Size : 42,9 Mb
Release : 2020-03-05
Category : Computers
ISBN : 9780128187005

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Hybrid Computational Intelligence by Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna Pdf

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Computational Intelligence

Author : Andries P. Engelbrecht
Publisher : John Wiley & Sons
Page : 628 pages
File Size : 54,5 Mb
Release : 2007-10-22
Category : Technology & Engineering
ISBN : 0470512504

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Computational Intelligence by Andries P. Engelbrecht Pdf

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library. Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework. Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains. Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Artificial Intelligence, Evolutionary Computing and Metaheuristics

Author : Xin-She Yang
Publisher : Springer
Page : 796 pages
File Size : 48,7 Mb
Release : 2012-07-27
Category : Technology & Engineering
ISBN : 9783642296949

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Artificial Intelligence, Evolutionary Computing and Metaheuristics by Xin-She Yang Pdf

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.

Advances in Machine Learning and Computational Intelligence

Author : Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi
Publisher : Springer Nature
Page : 853 pages
File Size : 45,8 Mb
Release : 2020-07-25
Category : Technology & Engineering
ISBN : 9789811552434

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Advances in Machine Learning and Computational Intelligence by Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi Pdf

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.

Computational Intelligence

Author : Rudolf Kruse,Christian Borgelt,Christian Braune,Sanaz Mostaghim,Matthias Steinbrecher
Publisher : Springer
Page : 564 pages
File Size : 50,7 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9781447172963

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Computational Intelligence by Rudolf Kruse,Christian Borgelt,Christian Braune,Sanaz Mostaghim,Matthias Steinbrecher Pdf

This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.

Computational Intelligence

Author : Dinesh C.S. Bisht,Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
Page : 280 pages
File Size : 52,8 Mb
Release : 2020-08-10
Category : Technology & Engineering
ISBN : 9783110671353

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Computational Intelligence by Dinesh C.S. Bisht,Mangey Ram Pdf

Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

Advances in Computational Intelligence

Author : Ignacio Rojas,Gonzalo Joya,Andreu Catala
Publisher : Springer
Page : 926 pages
File Size : 40,9 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9783030205188

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Advances in Computational Intelligence by Ignacio Rojas,Gonzalo Joya,Andreu Catala Pdf

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.