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Artificial Neural Networks
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  • Title Artificial Neural Networks
  • Author(s) Bernhard Mehlig
  • Publisher: arxiv.org (2019) and University of Gothenburg
  • License(s): Non-exclusive License to Distribute
  • Hardcover N/A
  • eBook PDF (206 pages)
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
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Book Description

Artificial Neural Networks (ANN) are state-of-the-art, trainable algorithms that emulate certain major aspects in the functioning of the human brain. This gives them a unique, self-training ability, the ability to formalize unclassified information and, most importantly, the ability to make forecasts based on the historical information they have at their disposal.

This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. It describes the use of neural networks in machine learning: deep learning, recurrent networks, and other supervised and unsupervised machine-learning algorithms.

About the Authors
  • Bernhard Mehlig is a professor of Physics at University of Gothenburg, Sweden.
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