共查询到20条相似文献,搜索用时 31 毫秒
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M Veeravahu 《BMJ (Clinical research ed.)》1984,289(6445):628-629
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P McDonald 《BMJ (Clinical research ed.)》1984,289(6439):242-243
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Watershed water quality monitoring is of great significance in the protection and management of water environments. Because existing water quality prediction algorithms cannot achieve high-precision multiparameter analysis and usually require a large amount of data, this paper proposes the VARLST hybrid water quality prediction model. The proposed model combines the traditional statistical vector autoregressive moving average model and the bidirectional long short-term memory neural network to achieve multiparameter water quality data prediction on small data samples, and the model data processing is simple and highly efficient. This model is used to analyze the characteristics of water quality parameters in the Inner Mongolian section of the Yellow River Basin in northern China. The average error and fitting accuracy of the prediction results are 0.0015 and 99.869%, respectively; hence, the model achieves high-accuracy prediction of multiparameter indicators using less data, outperforming single models in terms of feasibility and accuracy. 相似文献
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N—甲基吩嗪为介体辣根过氧化物酶传感器的研究 总被引:2,自引:0,他引:2
研究了将N-甲基吩嗪作为介体,通过牛血清白蛋白和戊二醛使其作为结合到玻碳电极上去的辣根过氧化物酶生物传感器。该酶电极对过氧化氢有良好的响应,N-甲基吩嗪还原电流的增值与过氧化氢浓度在1×10-6~5×10-4mol/L范围内有良好的线性关系,该传感器灵敏度高,检出限为10-7mol/L,对过氧化氢的响应时间小于10s。 相似文献