Prediction of Co Concentration in Different Conditions Based on Gaussian-Tcn

Ni, Sen; Jia, Pengfei; Yang, Xu; Zeng, Liwen; Li, Xiaoyü; Xu, Min

doi:10.2139/ssrn.4231894

Cited by 1 publication

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“…Compared to the other feature extraction methods, the proposed method achieved high accuracy in classification and regression results. Ni et al [10] introduced a new deep-learning model, Gaussian-TCN, based on Temporal Convolutional Network (TCN) and Gaussian Error Linear Units. The final results indicated that the Gaussian-TCN outperforms the TCN, LSTM, and GRU for CO concentration regression prediction.…”

Section: Introductionmentioning

confidence: 99%

Fusion Neural Network for Gas Concentration Prediction in Mixed Gas Environments

Li,

et al. 2023

J. Phys.: Conf. Ser.

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Due to the inherent complexity and nonlinearity of mixed gas data, existing pattern recognition algorithms utilized in electronic noses often encounter difficulties in accurately predicting gas concentrations. Addressing this issue, we propose a fusion neural network that merges Long Short-Term Memory (LSTM) and Temporal Convolutional Network (TCN), which we denote as the LSTM-TCN fusion model. The LSTM module effectively captures long-term dependencies in time-series data, while the TCN targets local correlations, thereby enhancing the prediction accuracy for complex gas concentrations. Experimental validation was conducted using a mixed gas dataset comprising ethylene and carbon monoxide. When compared with traditional models, including LSTM, TCN, and GRU, the proposed LSTM-TCN model demonstrated superior performance, achieving an R2 value as high as 0.9922. This research holds considerable practical significance and shows promising application prospects, contributing novel insights and methods to the study and application of electronic nose technology.

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Section: Introductionmentioning

confidence: 99%

Fusion Neural Network for Gas Concentration Prediction in Mixed Gas Environments

Li,

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

Prediction of Co Concentration in Different Conditions Based on Gaussian-Tcn

Cited by 1 publication

References 0 publications

Fusion Neural Network for Gas Concentration Prediction in Mixed Gas Environments

Fusion Neural Network for Gas Concentration Prediction in Mixed Gas Environments

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