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随着水利信息化建设的逐步深入,水情信息的实时推荐需求越来越强烈。水利数据具有很强的时效性,要求推荐系统能够提供实时推荐服务。基于用户的协同过滤算法和基于信息的协同过滤算法(Item-based Collaborative Filtering,ItemCF)是推荐领域常用的2种算法,但两者在本质上都属于离线算法,不能满足水情信息分发实时性要求。提出了一种基于长短期记忆神经网络(Long-Short-Term Memory,LSTM)的水情信息分发实时推荐算法并对其优化。实验结果表明:基于LSTM的实时推荐算法在推荐时延方面最优,而优化的结合二分类模型和ItemCF推荐结果的实时推荐算法在推荐准确率方面最优,设计实现优化的基于LSTM的实时推荐算法综合效果较好,在保证水情信息推荐准确性的同时保证了推荐实时性。 相似文献
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The results of the study on the effect of Cu2+ concentration on hydrogen production using a glucose solution and mixed microorganisms from a 9.2 L laboratory-scale digester operated at 35 ℃ indicated the productions of hydrogen, volatile fatty acids (VFAs), ethanol and biogas were inhibited by the added Cu2 + which caused a reduction in the glucose degradation efficiency. The specific yields of hydrogen, ethanol and acetate decreased with increased Cu2+ concentration in the mixed microorganisms. When the Cu2 + concentration in the mixed microorganisms was almost an constant, the specific yields of hydrogen, ethanol and acetate were very similar. A 50% inhibition of hydrogen yield (ECso) occurred at a Cu2+ dosage of 0. 50 mg/L in the present investigation. Cu2+ in the external environment is accumulated in the mixed microorganisms. The Cu2 + speciation, using a sequential extraction technique, showed that the Cu2+ was present mainly bound to organic sites in the mixed microorganisms in the present investigation. 相似文献
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煤气废水酸化破乳预处理功效探讨 总被引:1,自引:0,他引:1
General pretreatment processes of ammonia stripping and phenols solvent extraction can reduce the concentration of toxic compounds of the coal gasification wastewater for the following biological treatment. However, some emulsified coal tar still exists in the influent and many substances in coal tar are refractory and toxic to microorganisms. This study is mainly on the removal of emulsified coal tar by acidification demulsion. The experimental results show that the acidification process of the wastewater by pure hydrochloric acid can reduce the chemical oxygen demand (COD), total organic carbon (TOC), total phenolics and oil about 3.1%-11.3%, 6%-- 10.8%, 5.3%--8.6% and 25.2%--57.4% respectively with pH value in the range of 4 to 7. The analysis of molecular weight distribution indicates that compounds removed from the wastewater by this process are large molecular substances. The experiment also shows that the efficiency of COD removal in the demulsion process by different acids is different and the phosphoric acid is prominent. The preserved time of the wastewater also affects the efficiency of demulsion. Small amount low-cost solid additives including kaolin and diatomite can improve the rate of coal tar sedimentation and enhance the removal efficiency of organics in the phosphoric acidification process. 相似文献