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Classification by Neural Network and Statistical Models in Tandem: Does Integration Enhance Performance?
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.
Date:
December 1998
Creator:
Mitchell, David
System:
The UNT Digital Library
Machine Combination Analysis Procedure for Selecting Optimal Factory Cell Composition
This research examined the relationship between manufacturing input parameters and factory performance in a cellular manufacturing environment.
Date:
May 1998
Creator:
McQuaid, J. Robert (John Robert)
System:
The UNT Digital Library
The Role of Information Technology Support Mechanisms in Coordination Management for Virtual Teams
The purpose of this research is to examine virtual team members' use and perceptions of information technology (IT) support mechanisms. The study identifies the IT support mechanisms currently in use and focuses on differences between virtual and non-virtual teams in control and coordination, IT acceptance, and IT adoption.
Date:
December 1998
Creator:
Yager, Susan Elizabeth
System:
The UNT Digital Library