Neural Networks

Christo El Morr, Manar Jammal, Hossam Ali-Hassan and Walid El-Hallak ()
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Christo El Morr: York University
Manar Jammal: York University
Hossam Ali-Hassan: York University, Glendon Campus
Walid El-Hallak: Ontario Health

Chapter Chapter 11 in Machine Learning for Practical Decision Making, 2022, pp 319-360 from Springer

Abstract: Abstract Rule-based systems and Bayesian networks cannot effectively solve problems such as image or speech recognition. Artificial neural networks (ANNs), or simply neural networks, are effective in solving complex problems, i.e., in modeling complex nonlinear functions. ANNs model the functioning of the brain’s neurons; ANN can be trained to “learn” how to recognize patterns and classify data [1].

Date: 2022
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DOI: 10.1007/978-3-031-16990-8_11

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