Grammatical Evolution for Total Phosphorus in Reservoir Prediction

Chin Ming Kao; Li Chen; Chih Chiang Wei; You Rong Fu

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

Paper Titles

Simulation Research of High-Speed Projectile Penetrating Steel
p.347

Thermodynamic Analysis of Damaged Thermal Protection System Tiles
p.352

Analysis on the Mechanical Properties and Electric Conductivity of SCFRW
p.357

The Elastic-Viscoplastic Field at the Mixed-Mode Crack-Tip under Compression and Shear
p.364

Grammatical Evolution for Total Phosphorus in Reservoir Prediction
p.369

Modeling Slump Flow of Concrete Using Genetic Programming
p.374

Preliminary Screening of Microorganisms Producing Flocculent
p.379

Influences of Diaphragm Springs on Operation Performances of Sight-Stabilizing Mechanism
p.384

Effect of Temperature on Oil-Gas Separation in Membrane Separation Based Transformer On-Line Monitoring
p.389

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 211-212Grammatical Evolution for Total Phosphorus in...

Grammatical Evolution for Total Phosphorus in Reservoir Prediction

Abstract:

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).

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Periodical:

Advanced Materials Research (Volumes 211-212)

Pages:

369-373

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.211-212.369

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Online since:

February 2011

Authors:

Chin Ming Kao, Li Chen, Chih Chiang Wei, You Rong Fu

Keywords:

Grammatical Evolution (GE), Total Phosphorous (TP), Water Quality Predicting Model

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