This study develops a heuristic procedure for specifying parameters for a neural network configuration (learning rate, momentum, and the number of neurons in a single hidden layer) in Shewhart X-bar control chart applications. Also, this study examines the replicability of the neural network solution when the neural network is retrained several times with different initial weights.
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This study develops a heuristic procedure for specifying parameters for a neural network configuration (learning rate, momentum, and the number of neurons in a single hidden layer) in Shewhart X-bar control chart applications. Also, this study examines the replicability of the neural network solution when the neural network is retrained several times with different initial weights.
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Nam, Kyungdoo T.A Heuristic Procedure for Specifying Parameters in Neural Network Models for Shewhart X-bar Control Chart Applications,
dissertation,
December 1993;
Denton, Texas.
(https://digital.library.unt.edu/ark:/67531/metadc278815/:
accessed May 27, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
.