stdClass Object
(
    [id] => 5056
    [paper_index] => 202105-02-007178
    [title] => BASICS OF ARTIFICIAL NEURAL NETWORKS FUTURE SCOPES AND APPLICATIONS
    [description] => 
    [author] => Atharv Rathore, Anidhya Gangrade, Chinmay Pacharne
    [googlescholar] => https://scholar.google.co.in/scholar?scisbd=2&q=eprajournals.com&hl=en&as_sdt=0,5
    [doi] => 
    [year] => 2021
    [month] => May
    [volume] => 6
    [issue] => 5
    [file] => 901pm_78.EPRA JOURNALS-7178.pdf
    [abstract] => Artificial neural network is a computer program inspired from the human brain that acts just like the human brain processes information. ANN’s gather data or information similarly to that the brain does, that is by detecting patterns and learning through experience not by programming. An ANN is configured for specific purposes, such as pattern recognition or data classification, through a learning process.with the knowledge of the biological system involves adjustments to the synaptic connections that are present between neurons. This holds true for ANN as well. This paper gives an overview of the Artificial Neural Network and it also explains it’s application and advantages.
    [keywords] => 
    [doj] => 2021-05-27
    [hit] => 1918
    [status] => y
    [award_status] => P
    [orderr] => 78
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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