Prediction of carbon monoxide concentration near roads by means of artificial neural networks

机译：人工神经网络预测道路附近一氧化碳浓度

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The artificial neural, networks (ANN) as a tool to predict air pollution were presented taking into account meteorological conditions and parameters which characterise the source of pollutants. A comparison was made between the two methods for calculation of carbon monoxide concentration in the region of a city road. The first method was based on a hybrid model which was a combination of ANN (a neural model based on radial basis functions ― RBF) and the Pasquille model. In the other method the multilayer perceptron ― MLP only, was applied to predict the level of carbon monoxide near the roadside edge. Topologies and the flow diagrams of signals in both networks were given and statistical estimation of the two methods was presented.

机译：考虑到气象条件和表征污染物来源的参数，提出了人工神经网络（ANN）作为预测空气污染的工具。比较了两种计算城市道路区域一氧化碳浓度的方法。第一种方法基于混合模型，该模型是ANN（基于径向基函数的神经模型-RBF）和Pasquille模型的组合。在另一种方法中，仅使用多层感知器-MLP来预测路边附近的一氧化碳含量。给出了两个网络中信号的拓扑结构和流程图，并给出了这两种方法的统计估计。

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来源
《Tenth International Conference on Modelling, Monitoring and Management of Air Pollution Jul, 2002 City of Segovia》|2002年|p.763-772|共10页
会议地点 Segovia(ES)
作者
W. Kaminsky; E. Tomczak;
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作者单位

Faculty of Process and Environmental Engineering, Technical University of Lodz, Poland;

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原文格式 PDF
正文语种 eng
中图分类环境污染及其防治;
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1. Short-Term Prediction of Carbon Monoxide Concentration Using Artificial Neural Network (NARX) Without Traffic Data: Case Study: Shiraz City [J] . Mohebbi Mohammad Reza, Jashni Ayub Karimi, Dehghani Maryam, Iranian Journal of Science and Technology, Transactions of Civil Engineering . 2019,第3期

机译：在没有交通数据的情况下使用人工神经网络（NARX）进行一氧化碳浓度的短期预测：案例研究：设拉子市
2. Short-Term Prediction of Carbon Monoxide Concentration Using Artificial Neural Network (NARX) Without Traffic Data: Case Study: Shiraz City [J] . Mohebbi Mohammad Reza, Jashni Ayub Karimi, Dehghani Maryam, Iranian Journal of Science and Technology, Transactions of Civil Engineering . 2019,第3期

机译：使用人工神经网络（NARX）的短期预测无交通数据：案例研究：Shiraz City
3. Fine-scale estimation of carbon monoxide and fine particulate matter concentrations in proximity to a road intersection by using wavelet neural network with genetic algorithm [J] . Zhanyong Wang, Feng Lu, Hong-di He, Atmospheric environment . 2015,第mara期

机译：遗传算法的小波神经网络用于道路交叉口附近一氧化碳和细颗粒物浓度的精细估算
4. Prediction of carbon monoxide concentration near roads by means of artificial neural networks [C] . W. Kaminsky, E. Tomczak International conference on modelling, monitoring and management of air pollution . 2002

机译：通过人工神经网络预测道路附近的一氧化碳浓度
5. Prediction of sea ice concentration using artificial neural networks. [D] . El-Diasty, Mohammed Kandil El-Emam. 2003

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6. Prediction of Zn concentration in human seminal plasma of Normospermia samples by Artificial Neural Networks (ANN) [O] . Vickram A. S., Raja Das, Srinivas M. S., 2013

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7. Application of Artificial Neural Networks to Modeling and Prediction of Ambient Ozone Concentrations [O] . Lubomir Hadjiiski, Philip Hopke 2000

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8. Forecasting Carbon Monoxide Concentrations Near a Sheltered Intersection UsingVideo Traffic Surveillance and Neural Networks [R] . Moseholm, L., Silva, J., Larson, T. 1994

机译：利用视频交通监控和神经网络预测庇护交叉口附近的一氧化碳浓度

Prediction of carbon monoxide concentration near roads by means of artificial neural networks

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