| 期刊全稱 | Artificial Neural Networks in Vehicular Pollution Modelling |
| 影響因子2023 | Mukesh Khare,S. M. Shiva Nagendra |
| 視頻video | http://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 |  |
| 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 |
|Archiver|手機版|小黑屋|
派博傳思國際
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