Sustainable Finance

Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices

Published in: Journal of Intelligent Systems

Oct 04, 2023

Iyad Abu Doush Basem Ahmed Mohammed A. Awadallah Mohammed Azmi Al-Betar Noor Aldeen Alawad

The quality of the output produced by the multi-layer perceptron neural network depends on the careful selection of its weights and biases. The gradient descent technique is commonly used for choosing MLP’s optimal configuration, but it can suffer from being stuck in local optima and slow convergence toward promising regions in the search space. In this article, we propose two new optimization algorithms based on the moth-flame optimization algorithm (MFO), which mimics moths’ special navig...

Displaying 221-222 of 278 result(s).