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Journal of the Air & Waste Management Association Volume 63, 2013 - Issue 2
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Technical Papers

Development of hybrid genetic-algorithm-based neural networks using regression trees for modeling air quality inside a public transportation bus

Akhil Kadiyala Department of Civil Engineering, University of Toledo, Toledo, Ohio, USA
,
Devinder Kaur Electrical Engineering and Computer Science Department, University of Toledo, Toledo, Ohio, USA
&
Ashok Kumar Department of Civil Engineering, University of Toledo, Toledo, Ohio, USACorrespondence[email protected]
Pages 205-218 | Published online: 23 Jan 2013

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Mehmet Cabir Akkoyunlu, Engin Pekel, Mustafa Tahir Akkoyunlu & Saban Pusat. (2020) Using hybridized ANN-GA prediction method for DOE performed drying experiments. Drying Technology 38:11, pages 1393-1399.
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Chenghang Zheng, Zhongyang Zhao, Yishan Guo, Haitao Zhao, Weiguo Weng, Weihang Zhu, Baoyun Yu & Xiang Gao. (2020) A real-time optimization method for economic and effective operation of electrostatic precipitators. Journal of the Air & Waste Management Association 70:7, pages 708-720.
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Engin Pekel & Selin Soner Kara. (2017) Passenger Flow Prediction Based on Newly Adopted Algorithms. Applied Artificial Intelligence 31:1, pages 64-79.
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Articles from other publishers (16)

Sheen Mclean Cabaneros & Ben Hughes. (2022) Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting. Environmental Modelling & Software 158, pages 105529.
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Saisantosh Vamshi Harsha Madiraju & Ashok Kumar. (2022) Examination of the Performance of a Three-Phase Atmospheric Turbulence Model for Line-Source Dispersion Modeling Using Multiple Air Quality Datasets. J 5:2, pages 198-213.
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Engin Pekel, Muhammet Gul, Erkan Celik & Samuel Yousefi. (2021) Metaheuristic Approaches Integrated with ANN in Forecasting Daily Emergency Department Visits. Mathematical Problems in Engineering 2021, pages 1-14.
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Akhil Kadiyala & Ashok Kumar. (2018) Applications of Python to Evaluate the Performance of Bagging Methods. Environmental Progress & Sustainable Energy.
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Akhil Kadiyala & Ashok Kumar. (2018) Applications of python to evaluate the performance of bagging methods. Environmental Progress & Sustainable Energy 37:5, pages 1555-1559.
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Akhil Kadiyala & Ashok Kumar. (2018) Applications of python to evaluate the performance of decision tree-based boosting algorithms. Environmental Progress & Sustainable Energy 37:2, pages 618-623.
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Akhil Kadiyala & Ashok Kumar. (2017) Applications of Python to evaluate environmental data science problems. Environmental Progress & Sustainable Energy 36:6, pages 1580-1586.
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Akhil Kadiyala & Ashok Kumar. (2017) Vector Time Series-Based Radial Basis Function Neural Network Modeling of Air Quality Inside a Public Transportation Bus Using Available Software. Environmental Progress & Sustainable Energy 36:1, pages 4-10.
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Akhil Kadiyala & Ashok Kumar. (2016) Multivariate time series based radial basis function neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy 35:4, pages 931-935.
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Akhil Kadiyala & Ashok Kumar. (2016) Univariate time series based radial basis function neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy 35:2, pages 320-324.
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Akhil Kadiyala & Ashok Kumar. (2016) Vector-time-series-based back propagation neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy 35:1, pages 7-13.
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S. Dursun, F. Kunt & O. Taylan. (2015) Modelling sulphur dioxide levels of Konya city using artificial intelligent related to ozone, nitrogen dioxide and meteorological factors. International Journal of Environmental Science and Technology 12:12, pages 3915-3928.
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Akhil Kadiyala & Ashok Kumar. (2015) Multivariate time series based back propagation neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy 34:5, pages 1259-1266.
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Akhil Kadiyala & Ashok Kumar. (2015) Univariate time series based back propagation neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy 34:2, pages 319-323.
Crossref
Akhil Kadiyala & Ashok Kumar. (2014) Vector time series models for prediction of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy, pages n/a-n/a.
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Akhil Kadiyala & Ashok Kumar. (2014) Multivariate time series models for prediction of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy 33:2, pages 337-341.
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