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Approaches to the implementation of binary relation inference network.

by C.W. Tong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 96-98). / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- The Availability of Parallel Processing Machines --- p.2 / Chapter 1.1.1 --- Neural Networks --- p.5 / Chapter 1.2 --- Parallel Processing in the Continuous-Time Domain --- p.6 / Chapter 1.3 --- Binary Relation Inference Network --- p.10 / Chapter 2 --- Binary Relation Inference Network --- p.12 / Chapter 2.1 --- Binary Relation Inference Network --- p.12 / Chapter 2.1.1 --- Network Structure --- p.14 / Chapter 2.2 --- Shortest Path Problem --- p.17 / Chapter 2.2.1 --- Problem Statement --- p.17 / Chapter 2.2.2 --- A Binary Relation Inference Network Solution --- p.18 / Chapter 3 --- A Binary Relation Inference Network Prototype --- p.21 / Chapter 3.1 --- The Prototype --- p.22 / Chapter 3.1.1 --- The Network --- p.22 / Chapter 3.1.2 --- Computational Element --- p.22 / Chapter 3.1.3 --- Network Response Time --- p.27 / Chapter 3.2 --- Improving Response --- p.29 / Chapter 3.2.1 --- Removing Feedback --- p.29 / Chapter 3.2.2 --- Selecting Minimum with Diodes --- p.30 / Chapter 3.3 --- Speeding Up the Network Response --- p.33 / Chapter 3.4 --- Conclusion --- p.35 / Chapter 4 --- VLSI Building Blocks --- p.36 / Chapter 4.1 --- The Site --- p.37 / Chapter 4.2 --- The Unit --- p.40 / Chapter 4.2.1 --- A Minimum Finding Circuit --- p.40 / Chapter 4.2.2 --- A Tri-state Comparator --- p.44 / Chapter 4.3 --- The Computational Element --- p.45 / Chapter 4.3.1 --- Network Performances --- p.46 / Chapter 4.4 --- Discussion --- p.47 / Chapter 5 --- A VLSI Chip --- p.48 / Chapter 5.1 --- Spatial Configuration --- p.49 / Chapter 5.2 --- Layout --- p.50 / Chapter 5.2.1 --- Computational Elements --- p.50 / Chapter 5.2.2 --- The Network --- p.52 / Chapter 5.2.3 --- I/O Requirements --- p.53 / Chapter 5.2.4 --- Optional Modules --- p.53 / Chapter 5.3 --- A Scalable Design --- p.54 / Chapter 6 --- The Inverse Shortest Paths Problem --- p.57 / Chapter 6.1 --- Problem Statement --- p.59 / Chapter 6.2 --- The Embedded Approach --- p.63 / Chapter 6.2.1 --- The Formulation --- p.63 / Chapter 6.2.2 --- The Algorithm --- p.65 / Chapter 6.3 --- Implementation Results --- p.66 / Chapter 6.4 --- Other Implementations --- p.67 / Chapter 6.4.1 --- Sequential Machine --- p.67 / Chapter 6.4.2 --- Parallel Machine --- p.68 / Chapter 6.5 --- Discussion --- p.68 / Chapter 7 --- Closed Semiring Optimization Circuits --- p.71 / Chapter 7.1 --- Transitive Closure Problem --- p.72 / Chapter 7.1.1 --- Problem Statement --- p.72 / Chapter 7.1.2 --- Inference Network Solutions --- p.73 / Chapter 7.2 --- Closed Semirings --- p.76 / Chapter 7.3 --- Closed Semirings and the Binary Relation Inference Network --- p.79 / Chapter 7.3.1 --- Minimum Spanning Tree --- p.80 / Chapter 7.3.2 --- VLSI Implementation --- p.84 / Chapter 7.4 --- Conclusion --- p.86 / Chapter 8 --- Conclusions --- p.87 / Chapter 8.1 --- Summary of Achievements --- p.87 / Chapter 8.2 --- Future Work --- p.89 / Chapter 8.2.1 --- VLSI Fabrication --- p.89 / Chapter 8.2.2 --- Network Robustness --- p.90 / Chapter 8.2.3 --- Inference Network Applications --- p.91 / Chapter 8.2.4 --- Architecture for the Bellman-Ford Algorithm --- p.91 / Bibliography --- p.92 / Appendices --- p.99 / Chapter A --- Detailed Schematic --- p.99 / Chapter A.1 --- Schematic of the Inference Network Structures --- p.99 / Chapter A.1.1 --- Unit with Self-Feedback --- p.99 / Chapter A.1.2 --- Unit with Self-Feedback Removed --- p.100 / Chapter A.1.3 --- Unit with a Compact Minimizer --- p.100 / Chapter A.1.4 --- Network Modules --- p.100 / Chapter A.2 --- Inference Network Interface Circuits --- p.100 / Chapter B --- Circuit Simulation and Layout Tools --- p.107 / Chapter B.1 --- Circuit Simulation --- p.107 / Chapter B.2 --- VLSI Circuit Design --- p.110 / Chapter B.3 --- VLSI Circuit Layout --- p.111 / Chapter C --- The Conjugate-Gradient Descent Algorithm --- p.113 / Chapter D --- Shortest Path Problem on MasPar --- p.115

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_318210
Date January 1994
ContributorsTong, C. W., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
PublisherChinese University of Hong Kong
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, ix, 117 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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