The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …

The artificial neural network (ANN) is the most popular research area in neural computing. A
multi-layer perceptron (MLP) is an ANN that has hidden layers. Feed-forward (FF) ANN is …

This study aimed to establish a quantitative structure–property relationship (QSPR) model
for predicting the gas separation performance of polyimide membranes using neural …

For decades, tuberculosis (TB), a potentially serious infectious lung disease, continues to be
a leading cause of worldwide death. Proven to be conveniently efficient and cost-effective …

Artificial neural networks (ANNs), one of the most important artificial intelligence techniques,
are used extensively in modeling many types of problems. A successful training process is …

COVID-19 is a novel coronavirus that was emerged in December 2019 within Wuhan,
China. As the crisis of its severe, increasing dynamic outbreak in all parts of the globe, the …

The quality of the dicing will be impacted if the tool wears out quickly during the dicing
operation. If the crew changes the tool in a timely manner, the workpieces' quality of dicing is …

Based on dimensional memory mechanism and adaptive elite population, this paper
proposes a satisfactory and efficient artificial bee colony algorithm (DMABC_elite) to solve …