Immunocomputing-Based Approach for Optimizing the Topologies of LSTM Networks

Immunocomputing-Based Approach for Optimizing the Topologies of LSTM Networks

This paper aims to automatically design optimal LSTM topologies using the clonal selection algorithm (CSA) to solve text classification tasks such as sentiment analysis and SMS spam classification. Designing optimal topologies involves determining the best configuration of hyperparameters that will...

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Bibliographic Details
Main Authors: Ali Al Bataineh, Devinder Kaur
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Clonal selection algorithm
deep learning
hyperparameters optimization
IMDB
immunocomputing
long short-term memory
Online Access:https://ieeexplore.ieee.org/document/9442783/

Internet

https://ieeexplore.ieee.org/document/9442783/

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