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Assessment and prediction of benzene concentrations in a street canyon using artificial neural networks and deterministic models - Their response to 'what if' scenarios

机译:使用人工神经网络和确定性模型评估和预测街道峡谷中的苯浓度-它们对“假设条件”的响应

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摘要

The work deals with the comparison of two models: (i) an artificial neural network (ANN) and (ii) a semi empirical deterministic model (DET), used to simulate benzene concentrations in a street canyon. Furthermore, the response of models to 'what if scenarios' was also examined.
机译:这项工作涉及两种模型的比较:(i)人工神经网络(ANN)和(ii)半经验确定性模型(DET),用于模拟街道峡谷中的苯浓度。此外,还研究了模型对“情景假设”的响应。

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