Research Article
Stock Index Prices Prediction via Temporal Pattern Attention and Long-Short-Term Memory
| Input initial , wherein (n = 8) | | Output a mixed output of a linear part and a nonlinear part | | Initialize best_val = 10000000 | | for to epoches do | | | | | | | | | | if highway >0 do | | | | | | if val_loss < best_val | | best_val = val_loss | | model save | | else | | continue | | end |
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