Classification by Neural Network and Statistical Models in Tandem: Does Integration Enhance Performance?

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Description

The major purposes of the current research are twofold. The first purpose is to present a composite approach to the general classification problem by using outputs from various parametric statistical procedures and neural networks. The second purpose is to compare several parametric and neural network models on a transportation planning related classification problem and five simulated classification problems.

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x, 171 leaves: ill.

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Mitchell, David December 1998.

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This dissertation is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 33 times , with 4 in the last month . More information about this dissertation can be viewed below.

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  • Mitchell, David

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Description

The major purposes of the current research are twofold. The first purpose is to present a composite approach to the general classification problem by using outputs from various parametric statistical procedures and neural networks. The second purpose is to compare several parametric and neural network models on a transportation planning related classification problem and five simulated classification problems.

Physical Description

x, 171 leaves: ill.

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UNT Theses and Dissertations

Theses and dissertations represent a wealth of scholarly and artistic content created by masters and doctoral students in the degree-seeking process. Some ETDs in this collection are restricted to use by the UNT community.

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  • December 1998

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  • March 26, 2014, 9:30 a.m.

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  • Aug. 14, 2014, 12:56 p.m.

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Citations, Rights, Re-Use

Mitchell, David. Classification by Neural Network and Statistical Models in Tandem: Does Integration Enhance Performance?, dissertation, December 1998; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc278874/: accessed April 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .