Reset
Showing 6 of 6 academic articles

Multilayer perceptron and neural networks

Marius-Constantin Popescu, Valentina Emilia Bălaş, Liliana Perescu-Popescu, Nikos E. Mastorakis (2009)

Abstract:- The attempts for solving linear inseparable problems have led to different variations on the number of layers of neurons and activation functions used. The backpropagation algorithm is the most known and used supervised learning ...

OPENALEX DOI: https://doi.org/10.5555/1639537.1639542

A review of convolutional neural networks in computer vision

Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han et al. • Artificial Intelligence Review (2024)

Abstract In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of dee...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10462-024-10721-6

ACTIVATION FUNCTIONS IN NEURAL NETWORKS

Siddharth Sharma, Simone Sharma, Anidhya Athaiya • International Journal of Engineering Applied Sciences and Technology (2020)

Artificial Neural Networks are inspired from the human brain and the network of neurons present in the brain.The information is processed and passed on from one neuron to another through neuro synaptic junctions.Similarly, in artificial neu...

OPENALEX Open Access DOI: https://doi.org/10.33564/ijeast.2020.v04i12.054

Improved sports image classification using deep neural network and novel tuna swarm optimization

Zetian Zhou, Heqing Zhang, Mehdi Effatparvar • Scientific Reports (2024)

Abstract Sports image classification is a complex undertaking that necessitates the utilization of precise and robust techniques to differentiate between various sports activities. This study introduces a novel approach that combines the de...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-64826-7