APA (7th ed.) Citation

Chandriah, K. K., & Naraganahalli, R. V. (2021). RNN / LSTM with modified Adam optimizer in deep learning approach for automobile spare parts demand forecasting. Multimedia tools and applications, 80(17), 26145-26159. https://doi.org/10.1007/s11042-021-10913-0

Chicago Style (17th ed.) Citation

Chandriah, Kiran Kumar, and Raghavendra V. Naraganahalli. "RNN / LSTM with Modified Adam Optimizer in Deep Learning Approach for Automobile Spare Parts Demand Forecasting." Multimedia Tools and Applications 80, no. 17 (2021): 26145-26159. https://doi.org/10.1007/s11042-021-10913-0.

MLA (9th ed.) Citation

Chandriah, Kiran Kumar, and Raghavendra V. Naraganahalli. "RNN / LSTM with Modified Adam Optimizer in Deep Learning Approach for Automobile Spare Parts Demand Forecasting." Multimedia Tools and Applications, vol. 80, no. 17, 2021, pp. 26145-26159, https://doi.org/10.1007/s11042-021-10913-0.