Optimal design of convolutional neural network architectures using teaching–learning-based optimization for image classification
Convolutional neural networks (CNNs) have exhibited significant performance gains over
conventional machine learning techniques in solving various real-life problems in …
conventional machine learning techniques in solving various real-life problems in …
Bio-Inspired Artificial Intelligence with Natural Language Processing Based on Deceptive Content Detection in Social Networking
In recent research, fake news detection in social networking using Machine Learning (ML)
and Deep Learning (DL) models has gained immense attention. The current research article …
and Deep Learning (DL) models has gained immense attention. The current research article …
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review
Recent advancements in deep learning (DL) have played a crucial role in aiding experts to
develop personalized healthcare services, particularly in drug response prediction (DRP) for …
develop personalized healthcare services, particularly in drug response prediction (DRP) for …
Optimal control of an autonomous microgrid integrated with super magnetic energy storage using an artificial bee colony algorithm
This article presents a microgrid that uses sustainable energy sources. It has a fuel cell (FC),
wind energy production devices, and a superconducting magnetic energy storage (SMES) …
wind energy production devices, and a superconducting magnetic energy storage (SMES) …
Estimation of aerodynamic parameters using neural artificial bee colony fusion algorithm for moderate angle of attack using real flight data
Aircraft system identification aims to estimate the aerodynamic force and moment
coefficients utilizing intelligent modeling and parametric identification methodologies …
coefficients utilizing intelligent modeling and parametric identification methodologies …
Comparison of Selected Numerical Methods for Solving Integro-Differential Equations with the Cauchy Kernel
R Brociek, M Pleszczyński - Symmetry, 2024 - mdpi.com
The integro-differential equation with the Cauchy kernel is used in many different technical
problems, such as in circuit analysis or gas infrared radiation studies. Therefore, it is …
problems, such as in circuit analysis or gas infrared radiation studies. Therefore, it is …
Training Multilayer Neural Network Based on Optimal Control Theory for Limited Computational Resources
Backpropagation (BP)-based gradient descent is the general approach to train a neural
network with a multilayer perceptron. However, BP is inherently slow in learning, and it …
network with a multilayer perceptron. However, BP is inherently slow in learning, and it …
Data‐driven approach for estimating longitudinal aerodynamic parameters using neural artificial bee colony fusion algorithm
Aerodynamic parameter estimation involves modeling both force and moment coefficients
along with the computation of stability and control derivatives from recorded flight data …
along with the computation of stability and control derivatives from recorded flight data …
A coevolutionary artificial bee colony for training feedforword neural networks
L Zhang, H Li, W Gao - Neural Computing and Applications, 2024 - Springer
A coevolutionary artificial bee colony (CoABC) trainer based on a hybrid encoding mode is
proposed to optimize the network structure and connection weights of a single-hidden layer …
proposed to optimize the network structure and connection weights of a single-hidden layer …
On Performance of Marine Predators Algorithm in Training of Feed-Forward Neural Network for Identification of Nonlinear Systems
C Baştemur Kaya - Symmetry, 2023 - mdpi.com
Artificial neural networks (ANNs) are used to solve many problems, such as modeling,
identification, prediction, and classification. The success of ANN is directly related to the …
identification, prediction, and classification. The success of ANN is directly related to the …