An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

An artificial neural network can be created by simulating a network of model neurons in a computer. By applying algorithms that mimic the processes of real neurons, we can make the network 'learn ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

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 neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

All algorithms submitted for the final phase of the competition are based on deep learning methods. This is a variant of machine learning that uses multi-layered artificial neural networks to ...

Genetic algorithms (GAs) are problem-solving methods (or heuristics) that mimic the process of natural evolution. Unlike artificial neural networks (ANNs), designed to function like neurons in the ...

(NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange submissions, aimed at ...