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Titlebook: Artificial Neural Networks in Vehicular Pollution Modelling; Mukesh Khare,S. M. Shiva Nagendra Book 2007 Springer-Verlag Berlin Heidelberg

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發(fā)表于 2025-3-21 19:12:29 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Neural Networks in Vehicular Pollution Modelling
影響因子2023Mukesh Khare,S. M. Shiva Nagendra
視頻videohttp://file.papertrans.cn/163/162688/162688.mp4
發(fā)行地址Provides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models.Takes into account meteorological and traffic aspects.Useful for profes
學科分類Studies in Computational Intelligence
圖書封面Titlebook: Artificial Neural Networks in Vehicular Pollution Modelling;  Mukesh Khare,S. M. Shiva Nagendra Book 2007 Springer-Verlag Berlin Heidelberg
影響因子.Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining frequent dispersion complexities in urban areas...The book is very useful for hardcore professionals and researchers working in problems associated with urban air pollution management and control. .
Pindex Book 2007
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沙發(fā)
發(fā)表于 2025-3-21 22:19:05 | 只看該作者
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Aplication of ANN based Vehicular Pollution Models,
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Artificial Neural Networks in Vehicular Pollution Modelling
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發(fā)表于 2025-3-22 16:18:21 | 只看該作者
Mukesh Khare,S. M. Shiva NagendraProvides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models.Takes into account meteorological and traffic aspects.Useful for profes
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https://doi.org/10.1007/978-3-540-37418-3Line Source Emission Modeling; Vehicular Pollution; artificial neural network; behavior; computational i
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