机译:使用人工智能方法了解和预测大气质量参数
Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, Wales, United Kingdom, CF37 1DL,Department of Applied Informatics & Multimedia, T.E.I, of Crete, Estavromenos GR-71004 Heraklion, Crete, Greece;
Department of Mechanical Engineering, Aristotle University, GR-54124 Thessaloniki, Greece;
Department of Applied Informatics & Multimedia, T.E.I, of Crete, Estavromenos GR-71004 Heraklion, Crete, Greece;
Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, Wales, United Kingdom, CF37 1DL;
air quality; artificial neural networks; principal component analysis; fouriertransformation; ozone forecasting; benzene forecasting; linear regression; cross-validation;
机译:空气污染物和气象参数对PM2.5的预测和性能评估对发展的人工智能的预测模型
机译:通过人工智能方法建模大气颗粒物质
机译:人工智能方法在大气腐蚀预测中的应用
机译:基于人工智能的需求预测的准确性及其对需求构成预测的扩展
机译:了解并关联使用基于聚合物的响应表面模型和集成人工神经网络制备喷雾干燥的固体分散体所涉及的各种参数。
机译:基于非破坏性的肉质评价方法综述计算机视觉和人工智能技术
机译:实时人工智能警示系统的开发联系放电和水质(i)排放水质预测模型的应用