Grammatical Evolution for Total Phosphorus in Reservoir Prediction

Abstract:

Article Preview

The present study applied genetic programming (GP) to estimate the slump flow of high-performance concrete (HPC) using seven concrete ingredients. GP optimizes functions and their associated coefficients simultaneously and is suitable to automatically discover complex relationships between nonlinear systems. The results demonstrated that GP generates a more accurate formula and has lower estimating errors for predicting the slump flow of HPC than multiple linear regressions (MLRs).

Info:

Periodical:

Advanced Materials Research (Volumes 211-212)

Edited by:

Ran Chen

Pages:

369-373

DOI:

10.4028/www.scientific.net/AMR.211-212.369

Citation:

C. M. Kao et al., "Grammatical Evolution for Total Phosphorus in Reservoir Prediction", Advanced Materials Research, Vols. 211-212, pp. 369-373, 2011

Online since:

February 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.