Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Recent Advances in Artificial Neural Networks: Case Studies and Applications

by Gilberto Rivera , Witold Pedrycz , Álvaro Labella
Save 2% Save 2%
Current price ₹19,084.00
Original price ₹19,499.00
Original price ₹19,499.00
Original price ₹19,499.00
(-2%)
₹19,084.00
Current price ₹19,084.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Hardcover
  • ISBN13: 9783032134967
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 573
  • Original Price: GBP 149.99
  • Language: English
  • Edition: N/A
  • Item Weight: 998 grams
  • BISAC Subject(s): Artificial Intelligence / General

This book compiles research on the practical implementation of deep learning models and hybrid intelligent systems to tackle diverse and impactful challenges. Artificial Neural Networks (ANNs) and deep learning have profoundly transformed how real-world problems are addressed, enabling intelligent and adaptive solutions across various domains, including agriculture, healthcare, surveillance, natural language processing, multimodal learning, and environmental monitoring. Each chapter presents a specific use case, employing advanced techniques such as LSTM networks, hybrid CNN-BiLSTM architectures, siamese networks, attention mechanisms, YOLO-based object detection models, transformer architectures, and fuzzy inference systems. The collection is distinguished by its methodological rigor and the breadth of its application areas. To ensure a coherent and structured reading experience, this book is organized into three thematic sections: (1) Forecasting and Predictive Modeling, (2) Computer Vision and Multimodal Recognition, and (3) Innovations in Deep Learning Architectures and Applications. This book is a valuable resource for researchers, professionals, graduate students, and practitioners interested in the current landscape and future directions of deep learning. Readers from disciplines such as computer science, engineering, data science, health informatics, and applied artificial intelligence find inspiration and practical guidance for advancing their work in this book.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us