Source localization in ocean acoustics is posed as a machine learning problem in which data-driven methods learn source ranges d

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marusya05 [52]

1 year ago

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Source localization in ocean acoustics is posed as a machine learning problem in which data-driven methods learn source ranges d

irectly from observed acoustic data

Physics

1 answer:

Temka [501] · Answer 1 · 2023-05-21T11:59:04+03:00

Source localization in ocean acoustics is posed as a machine learning problem in which data-driven methods learn source ranges directly from observed acoustic data: True.

<h3>What is machine learning?</h3>

Machine learning (ML) is also known as artificial intelligence (AI) and it can be defined as a subfield in computer science which typically focuses on the use of computer algorithms, data-driven techniques (methods) and technologies to develop a smart computer-controlled robot that has the ability to automatically perform and manage tasks that are exclusively meant for humans or solved by using human intelligence.

In Machine learning (ML), data-driven techniques (methods) are used to learn source ranges directly from observed acoustic data in a bid to proffer solutions to source localization in ocean acoustics.

In conclusion, a normalized sample covariance matrix (SCM) is constructed and used as the input, especially after pre-processing the pressure that's received by a vertical linear array in Machine learning (ML).

Read more on machine learning here: brainly.com/question/25523571

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