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Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving by Zili Zhang, Chengqi Zhang - Paperback
429.43 AED

Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving by Zili Zhang, Chengqi Zhang - Paperback

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Category Type
Information Technology
ISBN
9783540209089
Author
Zili Zhang, Chengqi Zhang
Publisher
Springer
Description:

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 ...

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    Specifications

    Category Type
    Information Technology
    ISBN
    9783540209089
    Languages
    English
    Item EAN
    2724436362331
    People
    Author
    Zili Zhang, Chengqi Zhang
    Category Type
    Information Technology
    ISBN
    9783540209089
    Languages
    English
    Item EAN
    2724436362331
    People
    Author
    Zili Zhang, Chengqi Zhang
    People
    Publisher
    Springer
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
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  •  

    Description:

    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

    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 when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.

    This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

    Product Features:
    • Category: Information Technology
    • Binding: Paperback
    • Language of Text: English
    • Author(s): Zili Zhang, Chengqi Zhang
    • Publisher: Springer
    • ISBN: 9783540209089
    • Number of Pages: 194
    • Dimensions: 9.21 x 6.14 x 0.46 inches
 

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