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Hyperparameter Optimization Method Based on Harmony Search Algorithm to Improve Performance of 1D CNN Human Respiration Pattern Recognition System
2020
Sensors
Preserved Fulltext
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]
2019
arXiv
pre-print
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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2019 pre-print arXiv:1709.01620v3 fatcat:wtasjqi3tjgxxfhyk72kkjgahaOther Versions
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