Mohlo by se vám také líbit

Informovat o naskladnění knihy

Více informací o knize Neural Networks, Machine Learning, and Image Processing

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 417 bodů

Anotace knihy

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.

Parametry knihy

• Plný název: Neural Networks, Machine Learning, and Image Processing
• Podnázev: Mathematical Modeling and Applications
• Autor: Jose M Merigo, Ritu Sahni, Manoj Sahni
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 202
• EAN: 9781032300146
• ID: 41547217
• Nakladatelství: Taylor & Francis Ltd
• Hmotnost: 566 g
• Rozměry: 234 × 156 mm
• Datum vydání: 15. December 2022

Oblíbené z jiného soudku

---

---

---