
Neural Networks, Machine Learning, and Image Processing
Mathematical Modeling and Applications
- 202 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Neural Networks, Machine Learning, and Image Processing
Mathematical Modeling and Applications
About this book
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.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Editors
- Contributors
- Part I Mathematical modeling and neural network’s mathematical essence
- Part II Simulations in machine learning and image processing
- Index