by Leung Chi Sing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1991. / Bibliography: leaves 84-87. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Definition of Neural Networks --- p.3 / Chapter 1.2 --- Processing Elements ( Neurons ) and Activation Functions --- p.4 / Chapter 1.3 --- Topology --- p.7 / Chapter 1.4 --- Cross-count --- p.9 / Chapter 1.5 --- Learning Rules --- p.10 / Chapter 1.6 --- Categories of Neural Networks --- p.11 / Chapter 2 --- Rotation Transformations --- p.13 / Chapter 2.1 --- 2-Dimensional Rotations --- p.13 / Chapter 2.2 --- High Dimensional Rotations --- p.15 / Chapter 2.3 --- Hardware Implementation --- p.17 / Chapter 2.3.1 --- 2-Dimensional Rotation Block (2DRB) --- p.18 / Chapter 2.3.2 --- High Dimensional Rotation Block --- p.20 / Chapter 3 --- Rotation Qaudratic Function Neural Network (RQFN) --- p.24 / Chapter 3.1 --- Classical Quadratic Function Neurons (QFN) --- p.25 / Chapter 3.2 --- Rotation Quadratic Function Neural Network --- p.27 / Chapter 3.3 --- Learning Rule --- p.33 / Chapter 3.4 --- Comparison between RQFN and QFN --- p.39 / Chapter 3.4.1 --- Delay --- p.39 / Chapter 3.4.2 --- Fan-in --- p.39 / Chapter 3.4.3 --- Geometric interpretation --- p.40 / Chapter 3.4.4 --- Complexity --- p.40 / Chapter 3.5 --- Simulations --- p.42 / Chapter 3.5.1 --- XOR Test --- p.42 / Chapter 3.5.2 --- Simple Two-dimensional Test --- p.47 / Chapter 3.5.3 --- Three-dimensional Test --- p.50 / Chapter 3.5.4 --- Separated learning Test --- p.52 / Chapter 4 --- Enhanced RQFN --- p.56 / Chapter 4.1 --- Many-Class RQFN (MCRQFN) --- p.56 / Chapter 4.1.1 --- Topology of MCRQFN --- p.57 / Chapter 4.1.2 --- Learning Algorithm of MCRQFN --- p.57 / Chapter 4.2 --- Application Experiment --- p.59 / Chapter 4.2.1 --- Introduction --- p.59 / Chapter 4.2.2 --- Feature Extraction --- p.60 / Chapter 4.2.3 --- Configuration --- p.62 / Chapter 4.2.4 --- Experiment Results --- p.63 / Chapter 4.3 --- Generalized MCRQFN (GMCRQFN) --- p.66 / Chapter 4.3.1 --- Topology of GMCRQFN --- p.66 / Chapter 4.3.2 --- Learning Algorithm of GMCRQFN --- p.67 / Chapter 4.3.3 --- Simulations --- p.69 / Chapter 5 --- Conclusion --- p.82 / Bibliography --- p.87

The changes and its effects.

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2004. / Includes bibliographical references.

Thesis (D. Min.)--Trinity International University, 2003. / Abstract. Includes bibliographical references (leaves 182-190).

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2003. / Includes bibliographical references.

No description available.

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The research conducted for this thesis was focused on supporting mobile users, developing "bring your own support" solutions in order to ensure that minimum levels of computational support are always available to the user. The first line of research developed ways to minimize the negative social consequences arising from technology use. The second line of research concentrated on garment integrated devices, their use construction, and management of smart garments. The third line of research concentrated on device deployment which are another aspect of the "bring your own support" approach to supporting the mobile user. / Thesis (PhD)--University of South Australia, 2007.