Experimental and validation with neural network time series model of microbial fuel cell bio-sensor for phenol detection

2021 ◽  
Vol 290 ◽  
pp. 112594
Author(s):  
Sweta Naik ◽  
Jujjavarapu Satya Eswari
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Time Series Model ◽  
Network Time ◽  
Phenol Detection

Time Series Forecasting of Tunnel Surrounding Rock Displacement

2011 ◽  
Vol 261-263 ◽  
pp. 1789-1793 ◽  
Author(s):  
Guang Xiang Mao ◽  
Yuan You Xia ◽  
Ling Wei Liu
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Bp Neural Network ◽  
Time Series Prediction ◽  
Surrounding Rock ◽  
Tunnel Construction ◽  
Rock Stress ◽  
Rock Types ◽  
Network Time ◽  
Tunnel Depth

In the process of tunnel construction, because the rock stress redistribute, the vault and the two groups will generate displacement constantly. This paper adopts the genetic algorithm to optimize the weight and threshold of BP neural network, taking the tunnel depth, rock types and part measured values of displacement as input parameters to construct a neural network time series prediction model of tunnel surrounding rock displacement. The method proposed in the paper has been applied in the Ma Tou Tang tunnel construction successfully, and the results show that the model can predict the displacement of the surrounding rock quickly and accurately.

Roughness/error trade-offs in neural network time series models

1997 ◽  
Author(s):  
Steven C. Gustafson ◽  
Gordon R. Little ◽  
John S. Loomis ◽  
Theresa A. Tuthill
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Time Series Models ◽  
Trade Offs ◽  
Network Time
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