Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Peng Qian Xue"'
Publikováno v:
Journal of Coal Science and Engineering (China). 19:174-181
This paper presents a method for dynamically predicting gas emission quantity based on the wavelet neural network (WNN) toolbox. Such a method is able to predict the gas emission quantity in adjacent subsequent time intervals through training the WNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c158158ab5f1b47784b5116c33cafdfd
https://doi.org/10.1007/s12404-013-0211-7
https://doi.org/10.1007/s12404-013-0211-7
Publikováno v:
Advanced Materials Research. :1500-1506
A new method of rolling prediction for gas emission based on wavelet neural network is proposed in this paper. In the method, part of the sample data is selected, which length is constant, and the data is reselected as the next prediction step. Then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc0dc5ea3fdaf0bc56d3f0a768541fb0
https://doi.org/10.4028/www.scientific.net/amr.383-390.1500
https://doi.org/10.4028/www.scientific.net/amr.383-390.1500
Publikováno v:
Advanced Materials Research. :2312-2317
This paper presents a research on modeling and prediction with wavelet neural network in the nonlinear time series of gas emitted. Because accurately predicting the amount of gas emitted from the mine is a very important matter for safety, this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c7d9052b12a9332464fcbafc6a821d1
https://doi.org/10.4028/www.scientific.net/amr.328-330.2312
https://doi.org/10.4028/www.scientific.net/amr.328-330.2312
Publikováno v:
Proceedings of 2011 International Conference on Modelling, Identification and Control.
A rolling method of gas emission based on RBF neural networks is improved. In this method, a part of fixed-length data is selected for the prediction, new data are added continuously to the input sequence, and old data are removed, thereby developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84e3dcae7fca904d222dac56d1b7a348
https://doi.org/10.1109/icmic.2011.5973692
https://doi.org/10.1109/icmic.2011.5973692