Computational intelligence techniques and applications

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    6 Citations (Scopus)

    Abstract

    Computational intelligence is a group of computational models and tools that encompass elements of learning, adaptation, and/or heuristic optimization. It is used to help study problems that are difficult to solve using conventional computational algorithms. Neural networks, evolutionary computation, and fuzzy systems are the three main pillars of computational intelligence. More recently, emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, chaotic systems, and others have been added to the range of computational intelligence techniques. This chapter aims to present an overview of computational intelligence techniques and their applications, focusing on five representative techniques, including neural networks, evolutionary computation, fuzzy systems, swarm intelligence, and AIS.
    Original languageEnglish
    Title of host publicationComputational Intelligence Techniques in Earth and Environmental Sciences
    EditorsTanvir Islam, Prashant K Srivastava, Manika Gupta, Xuan Zhu, Saumitra Mukherjee
    Place of PublicationDordrecht Netherlands
    PublisherSpringer
    Pages3 - 26
    Number of pages24
    ISBN (Print)9789401786416
    DOIs
    Publication statusPublished - 2014

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