Full Description
Harness the power of MATLAB to resolve a wide range of the latest machine learning challenges. The enhanced Fourth Edition is updated with new chapters on advanced machine learning techniques and real-world engineering applications.
This book offers broad appeal for anyone interested in machine learning, with a new introductory chapter on MATLAB for greater accessibility and a dedicated toolbox chapter to streamline modern workflows. It also demonstrates how MATLAB and machine learning can address challenges across various technical fields. New chapters cover key machine learning areas like pattern recognition, system identification, and computer vision, along with application-focused content on advanced engineering topics such as FPGA deployment, space missions, power electronics, and dynamic modeling.
Each example in the book addresses a real-world problem, with fully executable code provided for every solution. You can quickly find and follow step-by-step guidance for specific challenges, enabling you to leverage these technologies to build sophisticated applications in areas such as pattern recognition, autonomous driving, expert systems, and more.
What You Will Learn
Write code for machine learning, adaptive control, and estimation using MATLAB
Use MATLAB graphics and visualization tools for machine learning
Become familiar with neural nets
Build expert systems
Understand adaptive control
Learn about artificial intelligence
Gain knowledge of Kalman Filters
Who This Book Is For
Software engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists.
Contents
Part I.- 1. Basics.- 2. Toolboxes for Machine Learning.- 3. Graphics and Visualization.- Part 2.- 4. Overview.- 5. Kalman Filters.- 6. Adaptive Control.- 7. Fuzzy Logic.- 8. Simple Neural Nets.- 9. Classification with Neural Nets.- 10. Neural Nets with Deep Learning.- 11. Physics-informed Deep Neural Networks.- 12. Multiple Hypothesis Testing.- 13. System Identification.- 14. Computer Vision.- Part 3.- 15. Autonomous Driving with MHT.- 16. Spacecraft Attitude Determination.- 17. Neural Networks on FPGA from MATLAB.- 18. Position Determination for Landing.- 19. Remaining Useful Life.- 20. Neural Aircraft Control.- Appendix A. The History of Artificial Intelligence.- Appendix B. Software for Machine Learning.
