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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  • 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.

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x, 171 leaves: ill.

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UNT Theses and Dissertations

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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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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 September 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .