Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

Nowadays, people use smart devices everywhere and for different applications such as
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …

Artificial neural networks are one of the most commonly used methods in machine learning.
Performance of network highly depends on the learning method. Traditional learning …

The research presented in this manuscript proposes a novel Harris Hawks optimization
algorithm with practical application for evolving convolutional neural network architecture to …

Feature selection techniques play a vital role in the processes that deal with enormous
amounts of data. These techniques have become extremely crucial and necessary for data …

As one of the most popular artificial neural networks, multi-layer perceptron (MLP) has been
employed to solve classification problems in many applications. The main challenge in MLP …

Abstract Feedforward Neural Network (FNN) is one of the most popular neural network
models that is utilized to solve a wide range of nonlinear and complex problems. Several …

The immense amount of data managed during the diagnosis process overwhelms, by far,
the clinicians' processing capabilities. Artificial intelligence methods like Multi-Layer …

The learning process is one of the most difficult problems in artificial neural networks. This
process goal is to find the appropriate values for connection weights and biases and has a …