0
Your cart

Your cart is empty

Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution

Buy Now

Neural Networks, Machine Learning, and Image Processing - Mathematical Modeling and Applications (Hardcover) Loot Price: R3,545
Discovery Miles 35 450
Neural Networks, Machine Learning, and Image Processing - Mathematical Modeling and Applications (Hardcover): Manoj Sahni, Ritu...

Neural Networks, Machine Learning, and Image Processing - Mathematical Modeling and Applications (Hardcover)

Manoj Sahni, Ritu Sahni, Jose M. Merigo

 (sign in to rate)
Loot Price R3,545 Discovery Miles 35 450 | Repayment Terms: R332 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

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.

Review This Product

No reviews yet - be the first to create one!

Partners