Artificial Intelligence Prediction Model for Swelling Potential of Soil and Quicklime Activated Rice Husk Ash Blend for Sustainable Construction

نویسندگان

چکیده

Artificial intelligence (AI) algorithms of adaptive neuro-fuzzy inference system or the network-based fuzzy (ANFIS) has been deployed to predict swelling potential (SP) treated weak soil. The soil was with quicklime activated rice husk ash (QARHA) and prediction efficiency compared previous outcomes this operation from literature. need for effective utilization construction materials achieve sustainable designs monitoring behavior built environment is motivation behind deployment artificial in geo-environmental research field operations. use ANFIS common different fields science business best fits several data points. results modeling exercise conducted 25 datasets mixture experimental treatment soft QARHA shown that a better tool individual ANN FL even other tools like scheffe, ANOVA, regression extreme vertices methods. With performance index 88% correlation about 71% testing 17% 99% respectively training, proved be more powerful achieving material earthwork constructions, design geotechnical systems performance.

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ژورنال

عنوان ژورنال: Jurnal Kejuruteraan

سال: 2021

ISSN: ['2289-7526', '0128-0198']

DOI: https://doi.org/10.17576/jkukm-2021-33(4)-07