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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40220

Title: Grammatical evolution for total phosphorus in reservoir prediction
Authors: Chin Ming Kao
Li Chen
Chih Chiang Wei
You Rong Fu
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: Water Quality Predicting Model
Grammatical Evolution (GE)
Total Phosphorous (TP)
Date: 2011-02
Issue Date: 2017-01-16T06:25:08Z
Publisher: Advanced Materials Research
Abstract: 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).
Relation: 211-212
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40220
Appears in Collections:[海洋環境資訊系] 期刊論文

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