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Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil

K. Onyelowe, M. Iqbal, Fazal E. Jalal, M. Onyia, I. Onuoha

2021.4.16Multiscale and Multidisciplinary Modeling Experiments and Design

DOI: 10.1007/s41939-021-00093-7

tlooto Summary

The LMBP algorithm outclassed the other two algorithms in terms of the predicted models’ accuracy, while the Bayesian technique produced the best result with the required number of iterations to minimize the error.

Abstract

Abstract is not available.

Citation format

ONYELOWE, K., et al. Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil. Multiscale and Multidisciplinary Modeling Experiments and Design, 2021, 4: 259–274.