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Introduction to Intelligent Systems, Control, and Machine Learning using MATLAB

£74.99

textbook
  • Date Published: November 2023
  • availability: In stock
  • format: Hardback
  • isbn: 9781316518250

£ 74.99
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  • Dive into the foundations of intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook. Precise, clear introductions to core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, avoid the use of complex mathematical proofs, and are supported by over 70 examples. Modular chapters built around a consistent learning framework enable tailored course offerings to suit different learning paths. Over 180 open-ended review questions support self-review and class discussion, over 120 end-of-chapter problems cement student understanding, and over 20 hands-on Arduino assignments connect theory to practice, supported by downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control, and contain practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.

    • Project-based practical learning through using Matlab, Simulink, and Arduino microcontrollers
    • Provides gentle but comprehensive coverage of methods in intelligent systems, machine learning, and control
    • Carefully curated appendices fill in gaps in students' theoretical or practical understanding, creating a self-contained learning package
    • Clear and relevant examples provided throughout
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    Reviews & endorsements

    'The book provides a thorough coverage of intelligent systems and control, featuring practical Matlab examples and emerging topics such as deep learning and reinforcement learning control. Its uniqueness lies in its capacity to serve as both a valuable college textbook for students, and a practical resource for engineers in related fields.' Jing Wang, Bradley University

    'A very clear self-contained introduction to intelligent systems and control, and machine learning. The different topics are explained in a comprehensive way and Matlab commands are given so that students can understand how to use design tools in practical applications.' Antonio Visioli, University of Brescia

    'The text is excellent … MATLAB is perfect for systems type engineering.' Michael Brown, University of Illinois, Chicago

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    Product details

    • Date Published: November 2023
    • format: Hardback
    • isbn: 9781316518250
    • length: 450 pages
    • dimensions: 261 x 183 x 27 mm
    • weight: 1.18kg
    • availability: In stock
  • Table of Contents

    1. What is an Intelligent System?
    2. Fuzzy Sets and Fuzzy Logic
    3. Fuzzy Inference and Fuzzy Logic Control
    4. Optimization: Hard Computing
    5. Optimization: Soft Computing
    6. Artificial Neural Networks
    7. Hybrid Intelligent Systems
    8. Deep Learning
    9. Machine Learning.

  • Author

    Marco P. Schoen, Idaho State University
    Marco P. Schoen is a Professor of Mechanical Engineering at Idaho State University, where he is the Director of the Measurement and Control Engineering Research Center. He is a Member of ASME, a Senior Member of IEEE, and AIAA, and the recipient of the 2019 ISU Distinguished Teacher Award.

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