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High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT)

Cheng, Min-Yuan and Firdausi, Pratama Mahardika and Prayogo, Doddy (2014) High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT). [UNSPECIFIED]

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    Abstract

    This study uses the Genetic Weighted Pyramid Operation Tree (GWPOT) to build a model to solve the problem of predicting high-performance concrete compressive strength. GWPOT is a new improvement of the genetic operation tree that consists of the Genetic Algorithm, Weighted Operation Structure, and Pyramid Operation Tree. The developed model obtained better results in benchmark tests against several widely used artificial intelligence (AI) models, including the Artificial Neural Network (ANN), Support Vector Machine (SVM), and Evolutionary Support Vector Machine Inference Model (ESIM). Further, unlike competitor models that use “black-box” techniques, the proposed GWPOT model generates explicit formulas, which provide important advantages in practical application.

    Item Type: UNSPECIFIED
    Additional Information: Untuk repository
    Uncontrolled Keywords: Prediction; Concrete strength; Genetic Algorithm; Operation Tree; Weighted Pyramid Operation Tree
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    Divisions: Faculty of Civil Engineering and Planning > Civil Engineering Department
    Depositing User: Admin
    Date Deposited: 18 Jul 2017 22:08
    Last Modified: 01 Sep 2017 01:02
    URI: http://repository.petra.ac.id/id/eprint/17650

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