The novel Artificial Neural Network assisted models: A review

Bhanu Srivastav

MPRA Paper from University Library of Munich, Germany

Abstract: Neural networks are one of the methods of artificial intelligence. It is founded on an existing knowledge and capacity to learn by illustration of the biological nervous system. Neural networks are used to solve problems that could not be modeled with conventional techniques. A neural structure can be learned, adapted, predicted, and graded. The potential of neural network parameters is very strong prediction. The findings are more reliable than standard mathematical estimation models. Therefore, it has been used in different fields. This research reviews the most recent advancement in utilizing the Artificial neural networks. The reviewed studies have been extracted from Web of Science maintained by Clarivate Analytics in 2021. We find that among the other applications of ANN, the applications on Covid-19 are on the rise.

Keywords: ANN; Covid-19; Dust; Gas; Organic richness (search for similar items in EconPapers)
JEL-codes: I1 I10 Q49 Y80 (search for similar items in EconPapers)
Date: 2021-02-08
New Economics Papers: this item is included in nep-big, nep-cmp, nep-cwa and nep-pay
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:106499

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