COMPARATIVE STUDY OF SURROGATE TECHNIQUES FOR HYPERPARAMETER OPTIMIZATION IN RECURRENT NEURAL NETWORK

Long Short-Term Memory (LSTM) models are a type of recurrent neural network (RNN) well-suited for tasks requiring the model to remember long-term dependencies. This makes them a promising approach for ET rate estimation, as ET is a process that is influenced by various factors that may occur over lo...

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Bibliographic Details
Main Author: HILMI, MUHAMMAD ZAHID
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/24854/1/2023_PhD%20in%20IT_thesis%20submission_1900298_Muhammad%20Zahid%20bin%20Hilmi.pdf
http://utpedia.utp.edu.my/id/eprint/24854/
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