Extreme-Long-short term memory for Time-series Prediction

This thesis introduces a novel neural network, the Extreme Long Short-Term Memory (E-LSTM), combine the advantages of Long Short-Term Memory (LSTM) networks and Extreme Learning Machines (ELM). Empirical evidence demonstrates that E-LSTM significantly bolsters computational efficiency, concurrently maintaining a high prediction accuracy.