Prediction of compressive strength of concrete based on improved artificial bee colony-multilayer perceptron algorithm.

ABSTRACT: There are many factors that affect the compressive strength of concrete. The relationship between compressive strength and these factors is a complex nonlinear problem. Empirical formulas commonly used to predict the compressive strength of concrete are based on summarizing experimental data of several different mix proportions and curing periods, and their generality is poor. This article proposes an improved artificial bee colony algorithm (IABC) and a multilayer perceptron (MLP) coupled model for predicting the compressive strength of concrete. To address the shortcomings of the basic artificial bee colony algorithm, such as easily falling into local optima and slow convergence speed, this article introduces a Gaussian mutation operator into the basic artificial bee colony algorithm to

SUBMITTER: Li P 

PROVIDER: S-EPMC10944844 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature