Power electronic converter (PEC)-interfaced renewable energy generators (REGs) are
increasingly being integrated to the power grid. With the high renewable power penetration …

This paper is devoted to the development and construction of a practical Machine Learning
(ML)-based model for the prediction of tensile strength of polymer carbon nanotube (CNTs) …

The equivalent circulation density (ECD) is a very important parameter in drilling high-
pressure high-temperature and deepwater wells. ECD is a key parameter during drilling …

Abstract Battery Energy Storage (BES) systems are adequate alternative for any Wind Power
Generation System (WPGS) for achieving greater operational flexibility by compensating the …

During the last few decades, machine learning has constituted a significant tool in extracting
useful knowledge from economic data for assisting decision-making. In this work, we …

In this study, artificial neural networks coupled multi-objective evolutionary algorithm based
on decomposition (ANN-MOEA/D) and non-dominated sorting genetic algorithm versionIII …

An intelligent sales forecasting system is considered a rather significant objective in the food
industry, since a reasonably accurate prediction has the possibility of gaining significant …

This project provides a new realistic solution for the accuracy of down hole torque
measurements using the integration of the Artificial intelligence (AI) technology with the …

Backpropagation (BP) merupakan salah satu paradigma pembelajaran dalam jaringan
syaraf tiruan yang dibangun dengan banyak lapisan untuk mengubah bobot–bobot yang …

One of the supervised learning paradigms in artificial neural networks (ANN) that are in
great developed is the backpropagation model. Backpropagation is a perceptron learning …