Neural networks in mechanics of structures and materials – new results and prospects of applications

By Z. Waszczyszyn, L. Ziemiański. 2001

264 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/d3cc24a729f7390370040b1b984224808127910f

How researchers see this paper

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

In Artificial Intelligence

1. K. Roinos
2. Maria G. Douvika
3. Konstantinos G. Kolovos
4. Panagiotis G. Asteris

In Civil and Structural Engineering

1. K. Roinos
2. Maria G. Douvika
3. Konstantinos G. Kolovos
4. Panagiotis G. Asteris

In Mechanical Engineering

1. K. Roinos
2. Maria G. Douvika
3. Konstantinos G. Kolovos
4. Panagiotis G. Asteris

Citations in the corpus

• Prediction of self-compacting concrete strength using artificial neural networks (2016, methodology): “This technique has also found application to the engineering structures problems and particularly in the modelling of concrete material characteristics (Waszczyszyn & Ziemiański, 2001).”