Examples of using Artificial neural in English and their translations into Greek
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An artificial neural network model for rainfall forecasting in Bangkok, Thailand.
Dissertation:“New methods of artificial neural networks training, optimization and applications”.
Pattern recognition, with emphasis on methods using artificial neural networks.
Framework for creating artificial neural nets.
AIS is an artificial intelligence/ self-learning artificial neural system/.
According to one very befuddled artificial neural network, all of these things can be found in the short intro to Star Trek:
specifically, artificial neural networks(ANN), a form of information processing inspired by biological systems such as the brain.
FocalNet is an artificial neural network that uses an algorithm that comprises more than a million trainable variables;
The Google artificial neural network is like a computer brain, inspired by the central nervous system of animals.
The modern usage of the term can sometimes refers to artificial neural networks, which are composed of artificial nodes.
Lavric, Vasile(2012): Artificial Neural Network Modelling of Ultrasound
The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes.
They propose that an artificial neural network could incorporate these new kinds of action potentials to simplify calculations.
The perceptron is a type of artificial neural network invented in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt.
nodes and connections in an artificial neural network increase, the structure gets more complex.
Artificial Neural Networks are a recent development tool that are modeled from biological neural networks.
Now a day, artificial neural network has been applied popularly in many fields of human life.
which“performs all the functions of the artificial neural circuit,” explains Tae-Woo Lee of the National University of Seoul.
nodes and connections in an artificial neural network increase, the structure becomes more complex.
This approach consists of two artificial neural networks, so called because they use algorithms designed to help them function a little like a human brain.