Examples of using Artificial neural in English and their translations into Slovenian
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The answer can be found in artificial intelligence research, which has made some major advances in recent years thanks to the use of what are known as artificial neural networks.
This book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas.
The key point about artificial neural systems is that they are trained, not programmed; they learn.
impact toughness, artificial neural networks, thermal analysis.
The research based upon this strategy has come to be known as the field of Artificial Neural Networks(also called Connectionism),
On interesting aspect of Artificial Neural Networks is that many of these systems also learn,
With minimal human input, AI systems such as artificial neural networks- computer-simulated networks of neurons that mimic the function of brains- can plow through mountains of data,
Based on the use of artificial neural networks, which are modelled after the human brain,
such as evolutionary computation, artificial neural networks and swarm intelligence.
unsupervised in their inner workings as in the implementation of various types of artificial neural networks.
Such as particular goals(e.g."robotics" or"machine learning"), the use of particular tools("logic" or artificial neural networks), or deep philosophical differences.
machine learning systems based on artificial neural networks.
Two researchers have developed a model with artificial neural networks to predict in which Spanish provinces corruption cases could appear with more probability,
it was an artificial neural network.
Artificial neural networks.
Definition of Artificial neural networks.
General applications of artificial neural networks.
Artificial neural networks work similarly.
What types of artificial neural networks exist?
Lavric, Vasile(2012): Artificial Neural Network Modelling of Ultrasound