
Description
The artificial neural network is a form of machine learning that is highly effective at recognizing patterns in large, noise-filled datasets. Possessing these attributes uniquely qualifies the neural network as a mathematical basis for adaptability in personal biomedical devices.
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Contributors
- Zia, Jonathan Sargon (Author)
- Panchanathan, Sethuraman (Thesis director)
- McDaniel, Troy (Committee member)
- Adler, Charles (Committee member)
- Electrical Engineering Program (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2016-05
Resource Type
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