Mak Sui Tung Terrence. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 132-142). / Abstracts in English and Chinese. / Abstract --- p.i / List of Tables --- p.iv / List of Figures --- p.v / Acknowledgements --- p.ix / Chapter 1. --- Introduction --- p.1 / Chapter 1.1 --- Bioinformatics --- p.1 / Chapter 1.2 --- Neural Prosthetics --- p.4 / Chapter 1.3 --- Learning in Uncertainty --- p.5 / Chapter 1.4 --- The Field Programmable Gate Array (FPGAs) --- p.7 / Chapter 1.5 --- Scope of the Thesis --- p.10 / Chapter 2. --- A Hybrid GA-DP Approach for Searching Equivalence Sets --- p.14 / Chapter 2.1 --- Introduction --- p.16 / Chapter 2.2 --- Equivalence Set Criterion --- p.18 / Chapter 2.3 --- Genetic Algorithm and Dynamic Programming --- p.19 / Chapter 2.3.1 --- Genetic Algorithm Formulation --- p.20 / Chapter 2.3.2 --- Bounded Mutation --- p.21 / Chapter 2.3.3 --- Conditioned Crossover --- p.22 / Chapter 2.3.4 --- Implementation --- p.22 / Chapter 2.4 --- FPGAs Implementation of GA-DP --- p.24 / Chapter 2.4.1 --- System Overview --- p.25 / Chapter 2.4.2 --- Parallel Computation for Transitive Closure --- p.26 / Chapter 2.4.3 --- Genetic Operation Realization --- p.28 / Chapter 2.5 --- Discussion --- p.30 / Chapter 2.6 --- Limitation and Future Work --- p.33 / Chapter 2.7 --- Conclusion --- p.34 / Chapter 3. --- An FPGA-based Architecture for Maximum-Likelihood Phylogeny Evaluation --- p.35 / Chapter 3.1 --- Introduction --- p.36 / Chapter 3.2 --- Maximum-Likelihood Model --- p.39 / Chapter 3.3 --- Hardware Mapping for Pruning Algorithm --- p.41 / Chapter 3.3.1 --- Related Works --- p.41 / Chapter 3.3.2 --- Number Representation --- p.42 / Chapter 3.3.3 --- Binary Tree Representation --- p.43 / Chapter 3.3.4 --- Binary Tree Traversal --- p.45 / Chapter 3.3.5 --- Maximum-Likelihood Evaluation Algorithm --- p.46 / Chapter 3.4 --- System Architecture --- p.49 / Chapter 3.4.1 --- Transition Probability Unit --- p.50 / Chapter 3.4.2 --- State-Parallel Computation Unit --- p.51 / Chapter 3.4.3 --- Error Computation --- p.54 / Chapter 3.5 --- Discussion --- p.56 / Chapter 3.5.1 --- Hardware Resource Consumption --- p.56 / Chapter 3.5.2 --- Delay Evaluation --- p.57 / Chapter 3.6 --- Conclusion --- p.59 / Chapter 4. --- Field Programmable Gate Array Implementation of Neuronal Ion Channel Dynamics --- p.61 / Chapter 4.1 --- Introduction --- p.62 / Chapter 4.2 --- Background --- p.63 / Chapter 4.2.1 --- Analog VLSI Model for Hebbian Synapse --- p.63 / Chapter 4.2.2 --- A Unifying Model of Bi-directional Synaptic Plasticity --- p.64 / Chapter 4.2.3 --- Non-NMDA Receptor Channel Regulation --- p.65 / Chapter 4.3 --- FPGAs Implementation --- p.65 / Chapter 4.3.1 --- FPGA Design Flow --- p.65 / Chapter 4.3.2 --- Digital Model of NMD A and AMPA receptors --- p.65 / Chapter 4.3.3 --- Synapse Modification --- p.67 / Chapter 4.4 --- Results --- p.68 / Chapter 4.4.1 --- Simulation Results --- p.68 / Chapter 4.5 --- Discussion --- p.70 / Chapter 4.6 --- Conclusion --- p.71 / Chapter 5. --- Continuous-Time and Discrete-Time Inference Networks for Distributed Dynamic Programming --- p.72 / Chapter 5.1 --- Introduction --- p.74 / Chapter 5.2 --- Background --- p.77 / Chapter 5.2.1 --- Markov decision process (MDPs) --- p.78 / Chapter 5.2.2 --- Learning in the MDPs --- p.80 / Chapter 5.2.3 --- Bellman Optimal Criterion --- p.80 / Chapter 5.2.4 --- Value Iteration --- p.81 / Chapter 5.3 --- A Computational Framework for Continuous-Time Inference Network --- p.82 / Chapter 5.3.1 --- Binary Relation Inference Network --- p.83 / Chapter 5.3.2 --- Binary Relation Inference Network for MDPs --- p.85 / Chapter 5.3.3 --- Continuous-Time Inference Network for MDPs --- p.87 / Chapter 5.4 --- Convergence Consideration --- p.88 / Chapter 5.5 --- Numerical Simulation --- p.90 / Chapter 5.5.1 --- Example 1: Random Walk --- p.90 / Chapter 5.5.2 --- Example 2: Random Walk on a Grid --- p.94 / Chapter 5.5.3 --- Example 3: Stochastic Shortest Path Problem --- p.97 / Chapter 5.5.4 --- Relationships Between λ and γ --- p.99 / Chapter 5.6 --- Discrete-Time Inference Network --- p.100 / Chapter 5.6.1 --- Results --- p.101 / Chapter 5.7 --- Conclusion --- p.102 / Chapter 6. --- On Distributed g-Learning Network --- p.104 / Chapter 6.1 --- Introduction --- p.105 / Chapter 6.2 --- Distributed Q-Learniing Network --- p.108 / Chapter 6.2.1 --- Distributed Q-Learning Network --- p.109 / Chapter 6.2.2 --- Q-Learning Network Architecture --- p.111 / Chapter 6.3 --- Experimental Results --- p.114 / Chapter 6.3.1 --- Random Walk --- p.114 / Chapter 6.3.2 --- The Shortest Path Problem --- p.116 / Chapter 6.4 --- Discussion --- p.120 / Chapter 6.4.1 --- Related Work --- p.121 / Chapter 6.5 --- FPGAs Implementation --- p.122 / Chapter 6.5.1 --- Distributed Registering Approach --- p.123 / Chapter 6.5.2 --- Serial BRAM Storing Approach --- p.124 / Chapter 6.5.3 --- Comparison --- p.125 / Chapter 6.5.4 --- Discussion --- p.127 / Chapter 6.6 --- Conclusion --- p.128 / Chapter 7. --- Summary --- p.129 / Bibliography --- p.132 / Appendix / Chapter A. --- Simplified Floating-Point Arithmetic --- p.143 / Chapter B. --- "Logarithm, Exponential and Division Implementation" --- p.144 / Chapter B.1 --- Introduction --- p.144 / Chapter B.2 --- Approximation Scheme --- p.145 / Chapter B.2.1 --- Logarithm --- p.145 / Chapter B.2.2 --- Exponentiation --- p.147 / Chapter B.2.3 --- Division --- p.148 / Chapter C. --- Analog VLSI Implementation --- p.150 / Chapter C.1 --- Site Function --- p.150 / Chapter C.1.1 --- Multiplication Cell --- p.150 / Chapter C.2 --- The Unit Function --- p.153 / Chapter C.3 --- The Inference Network Computation --- p.154 / Chapter C.4 --- Layout --- p.157 / Chapter C.5 --- Fabrication --- p.159 / Chapter C.5.1 --- Testing and Characterization --- p.161
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_325275 |
| Date | January 2005 |
| Contributors | Mak, Sui Tung Terrence., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xiv, 162 leaves : ill. ; 30 cm. |
| Rights | Use 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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