Search Results - "CHOY, Min Chee"
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Neural Networks for Real-Time Traffic Signal Control
Published in IEEE transactions on intelligent transportation systems (01-09-2006)“…Real-time traffic signal control is an integral part of the urban traffic control system, and providing effective real-time traffic signal control for a large…”
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Journal Article -
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Neural Networks for Continuous Online Learning and Control
Published in IEEE transactions on neural networks (01-11-2006)“…This paper proposes a new hybrid neural network (NN) model that employs a multistage online learning process to solve the distributed control problem with an…”
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Journal Article -
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Cooperative, hybrid agent architecture for real-time traffic signal control
Published in IEEE transactions on systems, man and cybernetics. Part A, Systems and humans (01-09-2003)“…This paper presents a new hybrid, synergistic approach in applying computational intelligence concepts to implement a cooperative, hierarchical, multiagent…”
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Real-Time Coordinated Signal Control Through Use of Agents with Online Reinforcement Learning
Published in Transportation research record (2003)“…A multiagent architecture for real-time coordinated signal control in an urban traffic network is introduced. The multiagent architecture consists of three…”
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Journal Article -
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Simultaneous perturbation stochastic approximation based neural networks for online learning
Published in Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) (2004)“…This work presents a new application of simultaneous perturbation stochastic approximation (SPSA) for online learning and weight updates in multiple neural…”
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Conference Proceeding
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Hybrid cooperative agents with online reinforcement learning for traffic control
Published in 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291) (2002)“…This paper presents the application of fuzzy-neuro-evolutionary hybrid system with online reinforcement learning for intelligent road traffic management and…”
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Conference Proceeding