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What is the role of artificial neural networks? 

Group method of data handling
Artificial neural network
Deep learning
Cognition
Types of artificial neural networks
10 answers found

Artificial neural networks (ANNs) could serve as artificial model organisms to connect neural dynamics and rich behavioral data.

Harnessing behavioral diversity to understand neural computations for cognition.
01 Oct 2019•Current Opinion in Neurobiology      24 citations

Artificial neural networks (ANNs) are systems that can learn.

The use of artificial neural networks in construction management: a review
01 Sep 1996•Construction Management and Economics      132 citations

Findings: Artificial neural network has a significant role in medical area.

Applications of Artificial Neural Networks: A Review
28 Dec 2016•Indian journal of science and technology      15 citations

As a result, the artificial neural networks are able to predict the behavior of the system with good accuracy in each scenario.

Nuclear energy system’s behavior and decision making using machine learning
01 Dec 2017•Nuclear Engineering and Design      25 citations

Experiments and analysis confirm that artificial neural networks are powerful tools for analysis, modeling, and control applications.

Weld modeling and control using artificial neural networks
02 Oct 1993•  109 citations

It is concluded that neural networks have an important role in image analysis and in signal processing.

Artificial neural networks for decision support in clinical medicine.
01 Oct 1995•Annals of Medicine      110 citations

In comparison, artificial neural networks reproduce features of these systems, satisfactorily well.

On the application of artificial neural network for modeling liquid-liquid equilibrium
01 Aug 2016•Journal of Molecular Liquids      11 citations

Our approach has the potential to enable artificial neural networks to scale up beyond what is currently possible. Artificial neural networks are artificial intelligence computing methods which are inspired by biological neural networks.

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
19 Jun 2018•Nature Communications      241 citations

It is a useful element for artificial neural networks that work in real time.

A two-variable silicon neuron circuit based on the Izhikevich model
01 Dec 2011•Artificial Life and Robotics      19 citations

Artificial neural networks offer an advantageous alternative to coding such knowledge in an expert system shell or writing a program for it.

Implementing a fuzzy expert system in an artificial neural network
01 Jan 1993•Computers & Chemical Engineering      9 citations
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