Machine learning approaches to manufacturing
L Monostori, A Márkus, H Van Brussel, E Westkämpfer - CIRP annals, 1996 - Elsevier
Continuous, steady improvement is a key requirement to manufacturing enterprises that
necessitates flat and flexible organizations, life-long learning of employees on the one side …
necessitates flat and flexible organizations, life-long learning of employees on the one side …
Machine learning in manufacturing: advantages, challenges, and applications
The nature of manufacturing systems faces ever more complex, dynamic and at times even
chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an …
chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an …
Intelligent manufacturing
A Kusiak - System, Prentice-Hall, Englewood Cliffs, NJ, 1990 - Springer
Manufacturing is awaiting a great challenge-the challenge of Artificial Intelligence (AI). We
are witnessing the proliferation of applications of AI in industry, ranging from finance and …
are witnessing the proliferation of applications of AI in industry, ranging from finance and …
[图书][B] Artificial neural networks for intelligent manufacturing
CH Dagli - 2012 - books.google.com
The quest for building systems that can function automatically has attracted a lot of attention
over the centuries and created continuous research activities. As users of these systems we …
over the centuries and created continuous research activities. As users of these systems we …
Intelligent systems in manufacturing: current developments and future prospects
Global competition and rapidly changing customer requirements are demanding increasing
changes in manufacturing environments. Enterprises are required to constantly redesign …
changes in manufacturing environments. Enterprises are required to constantly redesign …
Machine learning in production–potentials, challenges and exemplary applications
Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Integration of digital learning in industry 4.0
N Tvenge, K Martinsen - Procedia manufacturing, 2018 - Elsevier
The emerging advances in sensor systems, automation and Information and Communication
Technology (ICT) for manufacturing opens new possibilities for lifelong learning utilizing …
Technology (ICT) for manufacturing opens new possibilities for lifelong learning utilizing …
Intelligent computing methods for manufacturing systems
R Teti, SRT Kumara - Cirp Annals, 1997 - Elsevier
Intelligent computation is taken to include the development and application of artificial
intelligence (Al) methods ie tools that exhibit characteristics associated with intelligence in …
intelligence (Al) methods ie tools that exhibit characteristics associated with intelligence in …
Artificial intelligence in manufacturing and logistics systems: algorithms, applications, and case studies
Modern manufacturing and logistics systems are supported by increasingly ubiquitous and
powerful computing networks. Within these networks, oceans of data are continuously being …
powerful computing networks. Within these networks, oceans of data are continuously being …
Machine-learning techniques and their applications in manufacturing
DT Pham, AA Afify - Proceedings of the Institution of …, 2005 - journals.sagepub.com
Abstract Machine learning is concerned with enabling computer programs automatically to
improve their performance at some tasks through experience. Manufacturing is an area …
improve their performance at some tasks through experience. Manufacturing is an area …