Examples of 'artificial neural networks' in a sentence

Meaning of "artificial neural networks"

refers to a type of computing system that is modeled after the human brain's structure and functions. These networks are composed of interconnected nodes, known as neurons, which work together to process and analyze complex information

How to use "artificial neural networks" in a sentence

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artificial neural networks
Artificial neural networks extract facial expression.
Read more about artificial neural networks.
Artificial neural networks have many variations.
Evolutionary reinforcement learning of artificial neural networks.
Artificial neural networks struggle to learn similarly.
Its nonlinearity is approximated by artificial neural networks.
Artificial neural networks are flexible and adaptive.
It is applicable to the field of artificial neural networks.
How artificial neural networks work.
These algorithms are called artificial neural networks.
Generic artificial neural networks as a new creative tool.
The robots will have artificial neural networks.
When artificial neural networks reach their limits.
Computational aspects of artificial neural networks.
Artificial neural networks are one example.

See also

Different types of artificial neural networks.
Artificial neural networks are primarily abstract mathematical methods.
Acoustic emission analysis with artificial neural networks.
Implementation of artificial neural networks on a reconfigurable hardware accelerator.
The prediction was performed using artificial neural networks.
Artificial neural networks applied to forecasting time series.
Tracking conductor of an orchestra using artificial neural networks.
Artificial neural networks are used extensively in such applications.
Energy consumption simulation using artificial neural networks.
Artificial neural networks are inspired from their biological counterparts.
A lot of the machines we are building are artificial neural networks.
Artificial neural networks in control.
On the other side are the artificial neural networks.
Artificial neural networks for the prediction of solar resource.
Most deep learning models are based on artificial neural networks.
Artificial neural networks.
A good quality often attributed to artificial neural networks is fault tolerance.
Artificial neural networks are sometimes used to model the brain of an agent.
The first method was to calibrate using only artificial neural networks.
Systems using artificial neural networks have been used to great effect.
Gaussian functions are used to define some types of artificial neural networks.
Artificial neural networks were inspired by things we find in our own biology.
Estimating the cost of mechanical components using artificial neural networks.
Artificial neural networks were then trained on the calculated barriers.
Deep learning is a machine learning method based on artificial neural networks.
The artificial neural networks adequately modelled the ice parameters.
His work centred on the modelling capability of artificial neural networks.
The artificial neural networks provide the answers to your questions.
Forecasting of wind speeds and directions with artificial neural networks.
Artificial neural networks have actually been in existence for quite some time.
Biological neural networks have inspired the design of artificial neural networks.
New artificial neural networks models to control and simulation of dynamics systems.
His work has centered on the modeling capability of artificial neural networks.
Artificial neural networks are frequently used in reinforcement learning as part of the overall algorithm.
The determination by nonlinear regression can be obtained by an artificial neural networks model.

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