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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 67, NO. 8, AUGUST 20202241SpatialTemporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via ConvolutionalRecurrent Network
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What is neural network based analysis?
Neural network based analysis refers to the use of artificial neural networks to analyze data patterns and make predictions or decisions based on the modeled relationships within the data.
Who is required to file neural network based analysis?
Entities or individuals who utilize neural networks for data analysis that meets specific regulatory or industry criteria may be required to file neural network based analysis.
How to fill out neural network based analysis?
Filling out neural network based analysis typically involves providing information about the data sources, neural network architecture, training methodologies, and the outcomes of the analysis in a structured format.
What is the purpose of neural network based analysis?
The purpose of neural network based analysis is to extract insights, discover hidden patterns, and improve predictive accuracy from complex datasets through the modeling capabilities of neural networks.
What information must be reported on neural network based analysis?
Information that must be reported includes the architecture of the neural network, training data details, performance metrics, and the conclusions drawn from the analysis.
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