Illustrated Computational Intelligence
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Illustrated Computational Intelligence
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Author : Priti Srinivas Sajja
language : en
Publisher: Springer Nature
Release Date : 2020-11-16
Illustrated Computational Intelligence written by Priti Srinivas Sajja and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-16 with Technology & Engineering categories.
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.
Computational Intelligence Theory And Applications
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Author : Bernd Reusch
language : en
Publisher:
Release Date : 2014-01-15
Computational Intelligence Theory And Applications written by Bernd Reusch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Computational Intelligence In Theory And Practice
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Author : Bernd Reusch
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-01-18
Computational Intelligence In Theory And Practice written by Bernd Reusch 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 2001-01-18 with Computers categories.
Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them enable users from engineering, business, medicine and many more branches to capture and process vague, incomplete, uncertain and imprecise data and knowledge. Many algorithms and tools have been developed to solve problems in the realms of high and low level control, information processing, diagnostics, decision support, classification, optimisation and many more. This book tries to show the impact and feedback between theory and applications of Computational Intelligence, highlighted on selected examples.
Artificial Intelligence An Illustrated History
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Author : Clifford A. Pickover
language : en
Publisher: Hachette UK
Release Date : 2024-08-27
Artificial Intelligence An Illustrated History written by Clifford A. Pickover and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Technology & Engineering categories.
A History of the Future that's Happening Right Now Artificial Intelligence: An Illustrated History explores the historic origins and current applications of AI in such diverse fields as computing, medicine, popular culture, mythology, and philosophy. Through more than 100 entries, award-winning author Clifford A. Pickover, offers a granular, yet accessible, glimpse into the world of AI—from medieval robots and Boolean algebra to facial recognition, and artificial neural networks. First released in 2019, this updated paperback edition brings readers up to speed with coverage of technologies such as DALL-E and ChatGPT, and it explores the very real fear that AI will alter the course of humanity—forever.
Computational Intelligence In Theory And Practice
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Author : Bernd Reusch
language : en
Publisher:
Release Date : 2014-09-01
Computational Intelligence In Theory And Practice written by Bernd Reusch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with categories.
Computational Intelligence
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Author : Russell C. Eberhart
language : en
Publisher: Elsevier
Release Date : 2011-04-18
Computational Intelligence written by Russell C. Eberhart and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-18 with Computers categories.
Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems. - Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies - Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation - Details the metrics and analytical tools needed to assess the performance of computational intelligence tools - Concludes with a series of case studies that illustrate a wide range of successful applications - Presents code examples in C and C++ - Provides, at the end of each chapter, review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study
Computational Intelligence
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Author : Andries P. Engelbrecht
language : en
Publisher: Wiley-Blackwell
Release Date : 2002
Computational Intelligence written by Andries P. Engelbrecht and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
"Computational Intelligence: An Introduction 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." "Computational Intelligence: An Introduction is essential reading for third and fourth year undergraduate and postgraduate students studying Cl. 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 Al or Cl to solve problems in their domains."--BOOK JACKET.
The Mcgraw Hill Illustrated Encyclopedia Of Robotics Artificial Intelligence
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Author : Stan Gibilisco
language : en
Publisher: McGraw-Hill Companies
Release Date : 1994
The Mcgraw Hill Illustrated Encyclopedia Of Robotics Artificial Intelligence written by Stan Gibilisco and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Ideal for hobbyists, students, and experimenters, this first-of-its-kind encyclopedia offers an introductory overview of robotics and artificial intelligence. It contains 500 alphabetically arranged, densely-illustrated articles; extensive cross-referencing; and a comprehensive bibliography to help readers locate additional information.
Deep Learning Illustrated
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Author : Jon Krohn
language : en
Publisher: Addison-Wesley Professional
Release Date : 2019-08-05
Deep Learning Illustrated written by Jon Krohn and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-05 with Computers categories.
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Smart Information Systems
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Author : Frank Hopfgartner
language : en
Publisher: Springer
Release Date : 2015-01-14
Smart Information Systems written by Frank Hopfgartner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-14 with Computers categories.
This text presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence. The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures and evaluations used to answer important questions. This is then further illustrated by a diverse selection of case studies reflecting genuine problems faced by SMEs, multinational manufacturers, service companies, and the public sector. Features: provides a state-of-the-art introduction to the field, integrating contributions from both academia and industry; reviews novel information aggregation services; discusses personalization and recommendation systems; examines sensor-based knowledge acquisition services, describing how the analysis of sensor data can be used to provide a clear picture of our world.