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Adaptive fuzzy system for prediction of SO_2 concentration in Macau

机译:澳门SO_2浓度预测的自适应模糊系统

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Due to the small size and the complexity of the effects from the neighboring metropolises, traditional modeling such as the wind flow and dispersion modeling of the air pollution problem in Macau may not be economical or feasible. Investigation on the applicability of an adaptive neuro-fuzzy inference system (ANFIS) for predicting the daily average sulfur dioxide concentration in Macau is carried out. The 5-day ahead SO_2 concentration values predicted by the model are within 14
机译:由于邻近城市的规模小且影响复杂,因此传统的建模方法(如澳门的空气污染问题的风流和扩散模型)可能不经济或不可行。进行了自适应神经模糊推理系统(ANFIS)用于预测澳门每日平均二氧化硫浓度的研究。该模型预测的5天前SO_2浓度值在14以内

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