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Hyperparameter Optimization Method Based on Harmony Search Algorithm to Improve Performance of 1D CNN Human Respiration Pattern Recognition System

In this study, we propose a method to find an optimal combination of hyperparameters to improve the accuracy of respiration pattern recognition in a 1D (Dimensional) convolutional neural network (CNN). The proposed method is designed to integrate with a 1D CNN using the harmony search algorithm. In...

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Detalles Bibliográficos
Autores principales: Kim, Seong-Hoon, Geem, Zong Woo, Han, Gi-Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374394/
https://www.ncbi.nlm.nih.gov/pubmed/32630344
http://dx.doi.org/10.3390/s20133697

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