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The novel Artificial Neural Network assisted models: A review

Author

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  • Srivastav, Bhanu

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.

Suggested Citation

  • Srivastav, Bhanu, 2021. "The novel Artificial Neural Network assisted models: A review," MPRA Paper 106499, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:106499
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    Cited by:

    1. Kollár, Aladár, 2021. "Betting models using AI: a review on ANN, SVM, and Markov chain," MPRA Paper 106821, University Library of Munich, Germany.

    More about this item

    Keywords

    ANN; Covid-19; Dust; Gas; Organic richness;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I10 - Health, Education, and Welfare - - Health - - - General
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other
    • Y80 - Miscellaneous Categories - - Related Disciplines - - - Related Disciplines

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