@article{MAKHILLIJSC20127121062,
    title = {Outlook of ANN in Agricultural Data Mining},
    journal = {International Journal of Soft Computing},
    volume = {7},
    number = {1},
    pages = {24-27},
    year = {2012},
    issn = {1816-9503},
    doi = {ijscomp.2012.24.27},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2012.24.27},
    author = {S.S.,L. Arockiam and},
    keywords = {Artificial neural network,neurons input layer,output layer,hidden layer},
    abstract = {Organizations are flooded with large quantities of data with the increase in time duration. These data are available in the data base used to extract the information. To extract the information, Artificial Neural Network (ANN) is one of the leading methods in the data mining. Though ANN seems complicated to work, it is very easy to get high accuracy in noisy data sets. This study presents an overview of artificial neural network techniques with respect to data mining.}
    }