Hybrid Computational Intelligence

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  • Publisher : Academic Press
  • Release : 05 March 2020
  • ISBN : 9780128187005
  • Page : 250 pages
  • Rating : 4.5/5 from 103 voters

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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

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Hybrid Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
  • Publisher : Academic Press
  • Release Date : 2020-03-05
  • ISBN : 9780128187005
GET THIS BOOKHybrid Computational Intelligence

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 Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Václav Snásel,Ashish Khanna,Deepak Gupta
  • Publisher : Academic Press
  • Release Date : 2020-03-06
  • ISBN : 9780128186992
GET THIS BOOKHybrid Computational Intelligence

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

Tree-Structure based Hybrid Computational Intelligence

Tree-Structure based Hybrid Computational Intelligence
  • Author : Yuehui Chen,Ajith Abraham
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-11-27
  • ISBN : 9783642047398
GET THIS BOOKTree-Structure based Hybrid Computational Intelligence

Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved

Artificial Intelligence Systems Based on Hybrid Neural Networks

Artificial Intelligence Systems Based on Hybrid Neural Networks
  • Author : Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko
  • Publisher : Springer Nature
  • Release Date : 2020-09-03
  • ISBN : 9783030484538
GET THIS BOOKArtificial Intelligence Systems Based on Hybrid Neural Networks

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

Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN

Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN
  • Author : Almunawar, Mohammad Nabil,Anshari Ali, Muhammad,Ariff Lim, Syamimi
  • Publisher : IGI Global
  • Release Date : 2020-08-28
  • ISBN : 9781799849858
GET THIS BOOKHandbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN

Business-to-consumer (B2C) and consumer-to-consumer (C2C) e-commerce transactions, including social commerce, are rapidly expanding, although e-commerce is still small when compared to traditional business transactions. As the familiarity of making purchases using smart devices continues to expand, many global and regional investors hope to target the ASEAN region to tap into the rising digital market in this region. The Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN is an essential reference source that discusses

Hybrid Metaheuristics

Hybrid Metaheuristics
  • Author : Christian Blum,Andrea Roli,Michael Sampels
  • Publisher : Springer
  • Release Date : 2008-06-24
  • ISBN : 9783540782957
GET THIS BOOKHybrid Metaheuristics

Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments. The authors involved in this book are among the top researchers in their domain.

Hybrid Artificial Intelligence and IoT in Healthcare

Hybrid Artificial Intelligence and IoT in Healthcare
  • Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
  • Publisher : Springer Nature
  • Release Date : 2021-07-22
  • ISBN : 9789811629723
GET THIS BOOKHybrid Artificial Intelligence and IoT in Healthcare

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by

Towards Hybrid and Adaptive Computing

Towards Hybrid and Adaptive Computing
  • Author : Anupam Shukla,Ritu Tiwari,Rahul Kala
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-08-17
  • ISBN : 9783642143434
GET THIS BOOKTowards Hybrid and Adaptive Computing

Soft Computing today is a very vast field whose extent is beyond measure. This book offers a well structured presentation of the basic concepts of Artificial Neural Networks, Fuzzy Inference Systems and Evolutionary Algorithms.

Hybrid Metaheuristics

Hybrid Metaheuristics
  • Author : El-ghazali Talbi
  • Publisher : Springer
  • Release Date : 2012-07-31
  • ISBN : 9783642306716
GET THIS BOOKHybrid Metaheuristics

The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions

Agent-Based Hybrid Intelligent Systems

Agent-Based Hybrid Intelligent Systems
  • Author : Zili Zhang (Ph.D.),Chengqi Zhang
  • Publisher : Springer Science & Business Media
  • Release Date : 2004-01-28
  • ISBN : 9783540209089
GET THIS BOOKAgent-Based Hybrid Intelligent Systems

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved

Hybrid Intelligent Systems

Hybrid Intelligent Systems
  • Author : Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong
  • Publisher : Springer Nature
  • Release Date : 2021-04-16
  • ISBN : 9783030730505
GET THIS BOOKHybrid Intelligent Systems

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry.

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
  • Author : Patricia Melin,Oscar Castillo
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-03-08
  • ISBN : 3540241213
GET THIS BOOKHybrid Intelligent Systems for Pattern Recognition Using Soft Computing

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems

Computational Intelligence for Information Retrieval

Computational Intelligence for Information Retrieval
  • Author : Dharmender Saini,Gopal Chaudhary,Vedika Gupta
  • Publisher : CRC Press
  • Release Date : 2021-12-15
  • ISBN : 9781000484724
GET THIS BOOKComputational Intelligence for Information Retrieval

This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. The book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human–computer interaction is the motivation behind this book. The book covers a wide range of topics, starting

Hybrid Intelligent Systems

Hybrid Intelligent Systems
  • Author : Ana Maria Madureira,Ajith Abraham,Niketa Gandhi,Maria Leonilde Varela
  • Publisher : Springer
  • Release Date : 2019-03-20
  • ISBN : 9783030143473
GET THIS BOOKHybrid Intelligent Systems

This book highlights recent research on Hybrid Intelligent Systems and their various practical applications. It presents 56 selected papers from the 18th International Conference on Hybrid Intelligent Systems (HIS 2018), which was held at the Instituto Superior de Engenharia do Porto (ISEP), Porto, Portugal from December 13 to 15, 2018. A premier conference in the field of Artificial Intelligence, HIS 2018 brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from over 30 countries, the book

Hybrid Classifiers

Hybrid Classifiers
  • Author : Michal Wozniak
  • Publisher : Springer
  • Release Date : 2013-09-16
  • ISBN : 9783642409974
GET THIS BOOKHybrid Classifiers

This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems