most citedOptimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

q-fin.ST2024★ 6 cited

Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data

Ahmad Makinde

Several studies have discussed the impact different optimization techniques in the context of time series forecasting across different Neural network architectures. This paper exam…