机译:使用数据驱动的建模方法来预测希腊萨洛尼卡的日花粉浓度
Department of Mechanical Engineering, Informatics Systems & Applications Croup, Aristotle University, P.O. Box 483, CR-54124 Thessaloniki, Greece;
Department of Environmental Science, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio. Finland;
Department of Mechanical Engineering, Informatics Systems & Applications Croup, Aristotle University, P.O. Box 483, CR-54124 Thessaloniki, Greece;
Department of Mechanical Engineering, Informatics Systems & Applications Croup, Aristotle University, P.O. Box 483, CR-54124 Thessaloniki, Greece;
Department of Ecology, School of Biology, Aristotle University of Thessaloniki, CR-54124 Thessaloniki. Greece;
Department of Ecology, School of Biology, Aristotle University of Thessaloniki, CR-54124 Thessaloniki. Greece;
allergy; feature selection; forecasting; genetic algorithms; neural networks; regression trees; support vector machines;
机译:如何准备花粉日历,以预测香波,桦和禾本科的每日花粉浓度?
机译:Vigo(西班牙西北部)的空中橄榄花粉:一项调查以预测花粉季节的发作和每日浓度
机译:得土安(摩洛哥西北部)大气中的禾本科花粉:气象参数的影响和每日花粉浓度的预测
机译:使用人工神经网络和遗传算法预测希腊塞萨洛尼基的禾本科(禾本科)和豆科(橄榄)的空气中花粉浓度
机译:用来预测路易斯维尔都会统计区每日8小时臭氧峰值浓度的回归模型。
机译:使用统计和计算方法在维也纳的屋顶和地面上对花粉浓度进行评估–如何包括日常人群来源的症状数据
机译:Vigo(西班牙西班牙西班牙西北部)的空中橄榄花粉:预测花粉季节发病和日常浓度的调查