Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, ...

IMODE, an improved multi-operator differential evolution algorithm that simultaneously optimizes the architecture and parameters of feedforward neural networks, achieving ...

A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...

A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain. Neural networks are intricate networks of interconnected ...

MDPI引用格式：Taherdoost, H. Enhancing Social Media Platforms with Machine Learning Algorithms and Neural Networks. Algorithms 2023, 16, 271. 期刊简介：Algorithms (ISSN 1999-4893; CODEN: ALGOCH) ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

MDPI引用格式：Kshemkalyani, A.D.; Misra, A. Impossibility Results for Byzantine-Tolerant State Observation, Synchronization, and Graph Computation Problems ...

Read the original version in Spanish here. This article by Luis Álvarez Ayuso and Federico del Blanco García was originally published in the 16th issue of rita journal under the title "Aplicación de ...