An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks
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Publication:6157136
DOI10.1080/02664763.2021.1929089OpenAlexW3169915074MaRDI QIDQ6157136
Jeng-Shyang Pan, Chuang Lin, Unnamed Author, Shu-Chuan Chu, Unnamed Author
Publication date: 19 June 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930809
fault detectionparallelwireless sensor networkspopulation sizeparticle swarm optimizationback propagation neural network
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Cites Work
- Almost periodic solution of a multispecies discrete mutualism system with feedback controls
- Simultaneous confidence bands for ratios of survival functions via empirical likelihood.
- Robust multiclass classification for learning from imbalanced biomedical data
- Comparison of the finite mixture of ARMA-GARCH, back propagation neural networks and support-vector machines in forecasting financial returns
- A comparison of artificial neural network and multinomial logit models in predicting mergers
- Learning representations by back-propagating errors
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