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Intelligent Estimation

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Hardback
312 Pages
27 July 2026
RRP: $263.00
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Intelligent Estimation: A Soft Computing Paradigm presents a unified treatment of a new soft computing framework using AI-based approaches for system identification, parameter estimation, and filtering. This Neuro-Fuzzy-GA-based methodology, succinctly referred to as Intelligent Estimation (IE), integrates these estimation and filtering tasks within a single paradigm.

Offering a thorough understanding of soft computing-based estimation concepts and theory, the book discusses a modelling-control-system approach with numerous practical applications in solving mathematical modelling problems for industrial and aerospace engineering systems. It delves into theory, concepts, and various ramifications of neural networks, fuzzy logic, and genetic algorithms for modelling, system identification, filtering, and estimation.

This book is intended for upper-level undergraduate and graduate engineering students studying soft computing, intelligent systems, and advanced control systems in industry applications.

Instructors will be able to utilize a solutions manual and figure slides for their course.

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    Product Details
    ISBN-13
    9781041018230
    Author
    Jitendra R. Raol
    Publisher
    CRC Press
    Published
    27 July 2026
    Format
    Hardback
    Pages
    312

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $263.00
    $260.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Intelligent Estimation

    RRP: $263.00
    $260.00

    Description

    Intelligent Estimation: A Soft Computing Paradigm presents a unified treatment of a new soft computing framework using AI-based approaches for system identification, parameter estimation, and filtering. This Neuro-Fuzzy-GA-based methodology, succinctly referred to as Intelligent Estimation (IE), integrates these estimation and filtering tasks within a single paradigm.

    Offering a thorough understanding of soft computing-based estimation concepts and theory, the book discusses a modelling-control-system approach with numerous practical applications in solving mathematical modelling problems for industrial and aerospace engineering systems. It delves into theory, concepts, and various ramifications of neural networks, fuzzy logic, and genetic algorithms for modelling, system identification, filtering, and estimation.

    This book is intended for upper-level undergraduate and graduate engineering students studying soft computing, intelligent systems, and advanced control systems in industry applications.

    Instructors will be able to utilize a solutions manual and figure slides for their course.

    You Can Find This Title In

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