Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
This study provides an overview of the opportunities for applications of artificial neural networks in industrial design. It offers the knowledge of the architecture of different types of neural network models, main training tools and the current trends in neural networks applications to problems in industrial design area. The study also discusses the role that neural network models can play in complex engineering design problems. Since, neural networks are relevant in various contexts including many optimization and control problems, the study can be useful in industrial design and engineering design tasks of diverse interest.
How to cite this article:
Trayan Stamov. On the Applications of Neural Networks in Industrial Design:
A Survey of the State of the Art.
DOI: https://doi.org/10.36478/jeasci.2020.1797.1804
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2020.1797.1804