Приклади вживання Artificial neural network Англійська мовою та їх переклад на Українською
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Artificial neural network.
Classification of brain tumors using artificial neural network.
Artificial neural network.
Google Translate's NMT system uses a large artificial neural network capable of deep learning.
Multi-layer artificial neural network in predicting the capacity of the pharmaceutical market.
A group of software“neurons” are connected together to form an artificial neural network.
I will show you an artificial neural network that we have built recently, doing exactly that.
This“Ghost” of the ancient populationwas detected by genetic analysis using artificial neural network.
The 20Q AI uses an artificial neural network to pick the questions and to guess.
The program depends on a group of softwareneurons that are connected together to form an artificial neural network.
A two-layer feedforward artificial neural network with 8 inputs, 2x8 hidden and 2 outputs.
At the heart of the program is a group ofsoftware“neurons” that are connected together to form an artificial neural network.
The biggest difference between human brain and artificial neural network is scale neural networks of the brain.
Keywords hypertension, ambulatory blood pressure monitoring, blood pressure variability,Markov's processes, artificial neural network.
Synthesis of expert system and artificial neural network for determining the mechanical properties of the researching object.
The Terminator CPU is a room-temperature superconducting artificial neural network with the ability to learn.
Xavier Marjou[6] uses an artificial neural network to rank 17 orthographies according to their level of transparency.
The biggest difference between the human brain and the artificial neural network is the scale of the neural networks of the brain.
The artificial neural network introduced by the Finnish professor Teuvo Kohonen in the 1980s is sometimes called a Kohonen map or network. .
Previously, scientists could also create a simple artificial neural network, but was occupied by such equipment several laboratory tables.
ANN- Artificial Neural Network DCS- Distributed Control System HMI- Human Machine Interface SCADA- Supervisory Control and Data Acquisition PLC.
A team of scientists fromtechnological University in Singapore have developed an artificial neural network which is able to guess the pin of a smartphone with an accuracy of 84%.
Even the most complex artificial neural network, although it is sometimes difficult to understand, has the underlying architecture and principles that guide it.
By tuning the calculation each neuron performs, an artificial neural network can learn to perform tasks as diverse as recognizing cats and driving a car.
Artificial Neural Network systems have been successful at solving many problems, such as those involving pattern recognition, which have proved hard for other approaches.
Even the most sophisticated artificial neural network, although it is sometimes difficult to understand the underlying architecture and principles of management.
It was an artificial neural network approach that stressed the parallel nature of neural processing, and the distributed nature of neural representations.
Therefore, even though artificial neural network can process specific data, it cannot process information in a rich and multi-dimensional manner as the human brain does.
Artificial neural network is a human-created computational model with a huge amount of consequently operating processes united by numerous nodes similar to the human neuron.