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£107.98
Springer - Artificial Neural Networks in Vehicular Pollution
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Description
Key Features
Provides a step-by-step procedure for formulating and developing Artificial Neural Networks based vehicular pollution models.
Integrates critical meteorological and traffic aspects into the modeling process for higher accuracy.
Uses parallel computational models with interconnected adaptive processing units to predict pollutant behavior.
Designed for professionals and researchers focused on urban air pollution management and control.
Part of the Studies in Computational Intelligence series (Volume 41) from Springer.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3642072224
- Domain
- Amazon UK
- Release Date
- 30 November 2010
- Listed Since
- 20 September 2010
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