Значения термина artificial neural network на английском

The candidate events are classified as signal-like or backgroundlike by an artificial neural network.

Gmail has rolled out some improvements to tackle this using an artificial neural network.

That's because an artificial neural network created by research scientist Janelle Shane came up with it.

The cerebrospinal protein profiles were obtained and analyzed using the artificial neural network (ANN) method.

This study is based on gamma-ray pulse height distribution pattern recognition by means of an artificial neural network.

You don't think it's just the synaptic weights, like an artificial neural network that's trained to do particular things?

Hardware implementation of an artificial neural network requires neuromorphic devices to process information with low energy consumption and high heterogeneity.

Google Research has been working on automatic object recognition by training an artificial neural network with millions of digital images.

The approach is based on pulse height distribution pattern recognition by means of an artificial neural network (ANN).

A multi-layer feed forward artificial neural network (ML-FFNN) was used to classify the input space into 26 different classes.

We sought to identify critical variables through logistic regression, artificial neural network, and naïve Bayes classifier models to predict missed appointments.

An artificial neural network based approach using atomic fragmental descriptors has been developed to categorize compounds according to their in vitro human cytotoxicity.

Using a parameter decreasing method, the total number of SNP inputs used to construct artificial neural network (ANN) models was reduced.

All these kinds of simulations are trivial and have been around for decades -simply called artificial neural network (ANN) simulations.

Here we tested an innovative approach based on an artificial neural network (ANN) classifier from the same database of rsEEG markers.

The simulation data was used to train the artificial neural network which predicted the stability of honey crystallization depending on Fructose:Glucose and Glucose:Water ratios.