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.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc278815 |
| Date | 12 1900 |
| Creators | Nam, Kyungdoo T. |
| Contributors | Prybutok, Victor Ronald, 1952-, Jayakumar, Maliyakal D., Sanford, Clive C., Pavur, Robert J., Richards, Thomas C., Fracek, Stephen P. |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved., Nam, Kyungdoo T. |
Page generated in 0.0019 seconds