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

Seong-Hoon Kim, Zong Woo Geem, Gi-Tae Han
2020 Sensors  
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.  ...  Harmony Search Algorithm The harmony search (HS) algorithm solves optimization problems based on stochastic theory.  ... 
doi:10.3390/s20133697 pmid:32630344 pmcid:PMC7374394 fatcat:fgvcyg3tdvhnpjcxwiil7qpan4

Deep Learning Techniques for Music Generation – A Survey [article]

Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
2019 arXiv   pre-print
To be performed by a human(s) (in the case of a musical score), or by a machine (in the case of an audio file). Representation - What are the concepts to be manipulated?  ...  This typology is bottom-up, based on the analysis of many existing deep-learning based systems for music generation selected from the relevant literature.  ...  search, exploration is systematic on a small set of values for each hyperparameter; and • model-based optimization -by building a model of the generalization error and running an optimization algorithm  ... 
arXiv:1709.01620v4 fatcat:hma4znleorfpvh62cpupxu4fq4