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Published in 2018 at "International Journal of Geosynthetics and Ground Engineering"
DOI: 10.1007/s40891-017-0125-3
Abstract: In the present study, a multilayer perception-artificial neural network and multiple regression model is developed for predicting the California bearing ratio (CBR) value of stabilized pond ash. Pond ash collected from Panipat thermal plant is…
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Keywords:
cbr value;
value;
value stabilized;
pond ash ... See more keywords