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1	Quadratic function neural networks. January 1991 (has links) 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 Neural computers
2	Neural network hardware with random weight change learning algorithm Hirotsu, Kenichi 08 1900 (has links) No description available. Signal processing Neural computers
3	Convergent neural algorithms for pattern matching using high-order relational descriptions Miller, Kenyon Russell January 1991 (has links) No description available. Neural computers Relational databases Algorithms
4	Implementation limits for artificial neural networks Baker, Thomas Edward 02 1900 (has links) (PDF) M.S. / Computer Science and Engineering / Before artificial neural network applications become common there must be inexpensive hardware that will allow large networks to be run in real time. It is uncertain how large networks will do when constrained to implementations on architectures of current technology. Some tradeoffs must be made when the network models are implemented efficiently. Three popular artificial neural network models are analyzed. This paper discusses the effects on performance when the models are modified for efficient hardware implementation.
5	Neuromorphic implementation of retinotopic arrays of orientation selective hypercolumns / Choi, Yu Wing. January 2003 (has links) Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2003. / Includes bibliographical references (leaves 122-127). Also available in electronic version. Access restricted to campus users.
6	Deterministically initialized localized learning networks Miller, Mark Todd January 1991 (has links) No description available. Neural computers Artificial intelligence Computer networks
7	Toward a formalism for the automation of neural network construction and processing control Czuchry, Andrew J., Jr. 08 1900 (has links) No description available. Neural networks (Computer science) Neural computers
8	On the performance issues of the bidirectional associative memory Bragansa, John 05 1900 (has links) No description available. Neural networks (Computer science) Neural computers
9	An investigation in using artificial neural networks for quality control in the poultry industry Chin, Bruce Lorenz 12 1900 (has links) No description available. Poultry industry Quality control Neural computers
10	Implementation limits for artificial neural networks / Baker, Thomas Edward, January 1990 (has links) Thesis (M.S.)--Oregon Graduate Institute of Science and Technology, 1990.

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