Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-3 of 3
Keywords: Neural nets
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Analysis of labour productivity of formwork operations in building construction
Available to Purchase
Journal:
Construction Innovation
Construction Innovation: Information Process Management (2010) 10 (3): 286–303.
Published: 13 July 2010
... relatively costly operations. © Emerald Group Publishing Limited 2010 Labour Productivity rate Learning curves Neural nets Construction industry Canada AI=Artificial intelligence ANN=Artificial neural network Osama Moselhi can be contacted at: moselhi@encs.concordia.ca...
Journal Articles
Forecasting contractor performance using a neural network and genetic algorithm in a pre‐qualification model
Available to Purchase
Journal:
Construction Innovation
Construction Innovation: Information Process Management (2008) 8 (4): 280–298.
Published: 10 October 2008
... that the model has sufficient accuracy for implementation. The average MAPE for time, cost and quality OR is 15 per cent. Consequently, the model accuracy is 85 per cent. Originality/value The GNN model is able to predict future contractor performance for given attributes. Supplier evaluation Neural nets...
Journal Articles
Comparison of neural network and binary logistic regression methods in conceptual design of tall steel buildings
Available to Purchase
Journal:
Construction Innovation
Construction Innovation: Information Process Management (2007) 7 (3): 240–253.
Published: 17 July 2007
..., 1989) is as given below. Hassan Al Nageim can be contacted at: h.k.alnageim@ljmu.ac.uk © Emerald Group Publishing Limited 2007 Neural nets Binary logic Regression analysis Steel Buildings Design of tall steel buildings comprises of two distinct stages: conceptual and detailed...
