Ph.D. Thesis

David Squire

David McG. Squire, Model-based Neural Networks for Invariant Pattern Recognition. School of Computing, Curtin University of Technology, Perth, Western Australia, submitted Oct. 1996, passed Jan. 1997.

Whole thesis ModelBasedNeuralNetworksThesis.pdf

• Preamble (including Abstract and Table of Contents) (122245 bytes)
• Chapter 1. Introduction (206792 bytes)
• Chapter 2. General Methods for Invariant Pattern Recognition (156587 bytes)
• Chapter 3. Neural Network Approaches to Generalization and Invariance (149505 bytes)
• Chapter 4. Model-Based Neural Networks (241817 bytes)
• Chapter 5. Invariance Signatures (176462 bytes)
• Chapter 6. A Neural Network for Computing Invariance Signatures (150787 bytes)
• Chapter 7. Character Recognition with Invariance Signature Networks (394152 bytes)
• Chapter 8. Conclusion (120128 bytes)
• Appendices (361096 bytes)
• Publications
• Introduction to the Xnet Neural Network Simulator
• Bibliography (124409 bytes)