Development and Evaluation of an Integrated Approach to Study In-Bus Exposure Using Data Mining and Artificial Intelligence Methods

Development and Evaluation of an Integrated Approach to Study In-Bus Exposure Using Data Mining and Artificial Intelligence Methods

Bibliographic Details
Main Author:	Kadiyala, Akhil
Language:	English
Published:	University of Toledo / OhioLINK 2012
Subjects:	Civil Engineering Environmental Engineering Environmental Health Indoor Air Quality Public Transportation Buses Biodiesel Data Mining Sensitivity of the Regression Trees Artificial Neural Networks Genetic Algorithm Neural Networks Evolutionary Neural Networks In-Bus Exposure Air Quality Model Validation
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341257080

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