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Beschreibung
This textbook provides fundamentals and practical skills on AI foundations and applications with two MATLAB programming modes. It includes twelve chapters with detailed introductions for the foundation knowledge of AI, structures, key components, and hands-on AI projects implemented in various applications in our world.

Unlike other AI related textbooks, in which the Python is used, the MATLAB is adopted in this textbook. The Python programming mode builds AI projects with functions involving huge blocks of codes, which is a difficult task. However, in MATLAB mode, provides two programming styles, Apps, and function library. The Apps graphical user interface (GUIs) assist users, especially the beginners, to learn and build AI projects with no coding lines quickly and easily. To compensate the possible code-hiding in Apps, MATLAB provides a Converting Codes function to allow users to convert those Apps to the related codes. It enables users to have a clear picture between Apps and detailed coding process. The function library enables users to build AI projects with detailed codes. This textbook also includes homework questions, exercises, lab projects and case studies.

This book is designed as a textbook for advanced-level students in Computer Science or Computer Engineering. Also, AI engineers, who have an interest in learning and developing professional AI applications to solve real problems in the world will want to purchase this book.
This textbook provides fundamentals and practical skills on AI foundations and applications with two MATLAB programming modes. It includes twelve chapters with detailed introductions for the foundation knowledge of AI, structures, key components, and hands-on AI projects implemented in various applications in our world.

Unlike other AI related textbooks, in which the Python is used, the MATLAB is adopted in this textbook. The Python programming mode builds AI projects with functions involving huge blocks of codes, which is a difficult task. However, in MATLAB mode, provides two programming styles, Apps, and function library. The Apps graphical user interface (GUIs) assist users, especially the beginners, to learn and build AI projects with no coding lines quickly and easily. To compensate the possible code-hiding in Apps, MATLAB provides a Converting Codes function to allow users to convert those Apps to the related codes. It enables users to have a clear picture between Apps and detailed coding process. The function library enables users to build AI projects with detailed codes. This textbook also includes homework questions, exercises, lab projects and case studies.

This book is designed as a textbook for advanced-level students in Computer Science or Computer Engineering. Also, AI engineers, who have an interest in learning and developing professional AI applications to solve real problems in the world will want to purchase this book.
Über den Autor
Dr. YING BAI is a Professor in the Department of Computer Science and Engineering at Johnson C. Smith University. His special interests include: artificial intelligences, soft-computing, mix-language programming, fuzzy logic and deep learning, robotic controls, robots calibrations and database programming.
Since 2003, Dr. Bai has published seventeen (17) books with publishers such as Prentice Hall, CRC Press LLC, Springer, Cambridge University Press and Wiley IEEE Press. The Russian translation of his first book titled Applications Interface Programming Using Multiple Languages was published by Prentice Hall in 2005. The Chinese translation of his 8th book titled Practical Database Programming with Visual [...] was published by Tsinghua University Press in China in 2011. Most books are about artificial intelligence and soft-computing, software interfacing and serial port programming, database programming, fuzzy logic controls, microcontroller programming as well as classical and modern controls.
Inhaltsverzeichnis

Chapter 1 Introduction.- Chapter 2 Learning and Decision Making Process.- Chapter 3 Fuzzy Logic Inference System.- Chapter 4 Introduction to Machine Learning.- Chapter 5 Introduction to Regression Algorithms.- Chapter 6 Introduction to Classification Algorithms.- Chapter 7 Neural Networks and Deep Learning.- Chapter 8 Introduction to Unsupervised Learning.- Chapter 9 Introduction to Reinforcement Learning.- Chapter 10 Introduction to Adaptive Neuro Fuzzy Inference System.- Chapter 11 Case Study Projects on Fuzzy Logic Technology.- Chapter 12 Case Study Projects on Deep Learning.- Appendix A.

Details
Erscheinungsjahr: 2025
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xxi
673 S.
70 s/w Illustr.
400 farbige Illustr.
673 p. 470 illus.
400 illus. in color.
ISBN-13: 9783031844225
ISBN-10: 303184422X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Bai, Ying
Hersteller: Springer
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 38 mm
Von/Mit: Ying Bai
Erscheinungsdatum: 04.09.2025
Gewicht: 1,036 kg
Artikel-ID: 133975511

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