This book presents applications of deep learning and artificial intelligence in operations research, focusing on solving optimization problems and supporting decision-making in complex environments. It introduces modern deep learning models used in classification, pattern recognition, trend forecasting, and large-scale data analysis, and clarifies how to integrate these techniques with traditional operations research methods. The book covers a wide range of application areas such as logistics, supply chain management, resource allocation, production scheduling, healthcare, and smart agriculture. Through case studies and practical examples, the document illustrates the ability of AI models to improve forecasting accuracy, enhance operational efficiency, and support the development of intelligent decision-making systems. It is a valuable resource for researchers, graduate students, and professionals interested in the intersection of artificial intelligence, deep learning, and optimization.

Ngôn ngữ:	eng
Tác giả:	Chaudhary, Aryan (ed.), Basu Mallik, Biswadip (ed.), Mukherjee, Gunjan (ed.), Kar, Rahul (ed.)
Thông tin nhan đề:	Deep Learning Applications in Operations Research
Nhà xuất bản:	Auerbach Publications
Loại hình:	Giáo trình, sách tham khảo / Bộ sưu tập: Công nghệ thông tin
Mô tả vật lý:	274p.
Năm xuất bản:	2024