A methodology for building neural networks models from empirical engineering data
- 31 December 2000
- journal article
- Published by Elsevier in Engineering Applications of Artificial Intelligence
- Vol. 13 (6), 685-694
- https://doi.org/10.1016/s0952-1976(00)00053-1
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Artificial neural networks in marine propeller designPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Ensemble modelling or selecting the best model: Many could be better than oneArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 1999
- Evaluating machine learning models for engineering problemsArtificial Intelligence in Engineering, 1999
- Learning in design: From characterizing dimensions to working systemsArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 1998
- On topology, size and generalization of non-linear feed-forward neural networksNeurocomputing, 1997
- Machine Learning Techniques for Civil Engineering ProblemsComputer-Aided Civil and Infrastructure Engineering, 1997
- Heuristics of instability and stabilization in model selectionThe Annals of Statistics, 1996
- Neural NetworksPublished by Taylor & Francis ,1996
- Neural Networks and the Bias/Variance DilemmaNeural Computation, 1992
- A New Usable Propeller SeriesMarine Technology and SNAME News, 1989