NEURAL NETWORK DESIGN FOR ENGINEERING APPLICATIONS

By M. Y. Rafiq, Guido Bugmann, Dave Easterbrook. 2001

724 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4219422aa55e27be9e911d3f35fd31c837b773cb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yusuf Erzin

Citations in the corpus

• Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection (2011, neutral): “The ones referred to in the context of this research are: [9],[10],[11] and[12].”
• Artificial neural networks approach for swell pressure versus soil suction behaviour (2007, background): “Computers play a crucial role in engineering design; and engineers have utilized various applications to help them improve their design (Perzyk and Kochanski 2001; Rafiq et al. 2001).”