Back to search

Article

Tutorial: Artificial Neural Networks to Analyze Single-Case Experimental Designs

2020-11-27

Abstract excerpt

<p>Since the start of the 21st century, few advances have had as far reaching impact in science as the widespread adoption of artificial neural networks in fields as diverse as fundamental physics, clinical medicine, and psychology. In research methods, one promising area for the adoption of artificial neural networks involves the analysis of single-case experimental designs. Given that these types of networks are...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b93c7fac-5a0e-5de5-a21d-61ec0856d28d
DOI
10.31234/osf.io/3qzhp
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Tutorial: Artificial Neural Networks to Analyze Single-Case Experimental DesignsDOI 10.31234/osf.io/3qzhp
Select a neighboring publication to make it the new centre.