ABSTRACT
The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis. It further covers image processing techniques like Viola-Jones Method for face detection and fuzzy approach for person video emotion. It will serve as an ideal reference text for graduate students and academic researchers in the fields of mechanical engineering, electronics, communication engineering, computer engineering, and mathematics.
This book:
- Discusses applications of neural networks, machine learning, image processing, and mathematical modeling.
- Provides simulations techniques in machine learning and image processing-based problems.
- Highlights artificial intelligence and machine learning techniques in the detection of diseases.
- Introduces mathematical modeling techniques such as wavelet transform, modeling using differential equations, and numerical techniques for multi-dimensional data.
- Includes real-life problems for better understanding.
The book presents mathematical modeling techniques such as wavelet transform, differential equations, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as mechanical, electronics and communication and computer.
TABLE OF CONTENTS
part I|98 pages
Mathematical modeling and neural network's mathematical essence
chapter Chapter 2|12 pages
Multi-objective university course scheduling for uncertainly generated courses
chapter Chapter 4|10 pages
PSO-based PFC Cuk converter-fed BLDC motor drive for automotive applications
chapter Chapter 7|20 pages
Solution to first-order fuzzy differential equation using numerical methods
part II|100 pages
Simulations in machine learning and image processing