SRIVASTAVA, Praveen Ranjan und EACHEMPATI, Prajwal, 2021. Deep Neural Network and Time Series Approach for Finance Systems: Predicting the Movement of the Indian Stock Market. Journal of Organizational & End User Computing. 1 September 2021. Vol. 33, no. 5, p. 1-23. DOI 10.4018/JOEUC.20210901.oa10.
Elsevier - Harvard (with titles)Srivastava, P.R., Eachempati, P., 2021. Deep Neural Network and Time Series Approach for Finance Systems: Predicting the Movement of the Indian Stock Market. Journal of Organizational & End User Computing 33, 1-23. https://doi.org/10.4018/JOEUC.20210901.oa10
American Psychological Association 7th editionSrivastava, P. R., & Eachempati, P. (2021). Deep Neural Network and Time Series Approach for Finance Systems: Predicting the Movement of the Indian Stock Market. Journal of Organizational & End User Computing, 33(5), 1-23. https://doi.org/10.4018/JOEUC.20210901.oa10
Springer - Basic (author-date)Srivastava PR, Eachempati P (2021) Deep Neural Network and Time Series Approach for Finance Systems: Predicting the Movement of the Indian Stock Market.. Journal of Organizational & End User Computing 33:1-23. https://doi.org/10.4018/JOEUC.20210901.oa10
Juristische Zitierweise (Stüber) (Deutsch)Srivastava, Praveen Ranjan/ Eachempati, Prajwal, Deep Neural Network and Time Series Approach for Finance Systems: Predicting the Movement of the Indian Stock Market., Journal of Organizational & End User Computing 2021, 1-23.