引用本文:
Yong Jing LIN, Er Yi ZRU, Peng Yuan YANG. Artificial Neural Networks Applied to Gas Mixture Analysis[J]. Chinese Chemical Letters,
1997, 8(7): 623-626.
Citation: Yong Jing LIN, Er Yi ZRU, Peng Yuan YANG. Artificial Neural Networks Applied to Gas Mixture Analysis[J]. Chinese Chemical Letters, 1997, 8(7): 623-626.
Citation: Yong Jing LIN, Er Yi ZRU, Peng Yuan YANG. Artificial Neural Networks Applied to Gas Mixture Analysis[J]. Chinese Chemical Letters, 1997, 8(7): 623-626.
Artificial Neural Networks Applied to Gas Mixture Analysis
摘要:
An array composed of sixteen gas sensors was constructed to analyze gas mixtures quantitatively.The data of responses from the sensor array to ethane,propane and propylene were treated by three-layer ANN with BP algorithms and PLS.The analytical results indicated that the concentration predicted with ANN is better than that with PLS.The average prediction errors for ethane,propane and propylene were 5.11%,8.28%,2.64%,respectively.
English
Artificial Neural Networks Applied to Gas Mixture Analysis
Abstract:
An array composed of sixteen gas sensors was constructed to analyze gas mixtures quantitatively.The data of responses from the sensor array to ethane,propane and propylene were treated by three-layer ANN with BP algorithms and PLS.The analytical results indicated that the concentration predicted with ANN is better than that with PLS.The average prediction errors for ethane,propane and propylene were 5.11%,8.28%,2.64%,respectively.
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