Comparative study on properties of self compacting concrete using artificial neural network and regression analysis
By: Manju, R.
Contributor(s): Saratha, S. R.
Publisher: Chennai CSIR 2019Edition: Vol.46(4), Oct-Nov.Description: 267-276p.Subject(s): Construction Engineering and Management (CEM) In: Journal of structural engineering (JOSE)Summary: Analytical models are developed by using artificial neural network (ANN) and multiple regression analysis (MRA) for predicting the slump flow diameter (SFD), L-box ration (LR), V-funnel flow time (VFT) and compressive strength.....Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Articles Abstract Database | School of Engineering & Technology (PG) Archieval Section | Not for loan | 2021067 |
Total holds: 0
Analytical models are developed by using artificial neural network (ANN) and multiple regression analysis (MRA) for predicting the slump flow diameter (SFD), L-box ration (LR), V-funnel flow time (VFT) and compressive strength.....
There are no comments for this item.