Reinforcement learning in neurofuzzy traffic signal control

Author:

Bingham Ella

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference17 articles.

1. Neuronlike adaptive elements that can solve difficult learning control problems;Barto;IEEE Transactions on Systems, Man and Cybernetics,1983

2. Learning and tuning fuzzy logic controllers through reinforcements;Berenji;IEEE Transactions on Neural Networks,1992

3. E. Bingham, Neurofuzzy traffic signal control, Master's thesis, Department of Technical Physics and Mathematics, Helsinki University of Technology, Finland, 1998. URL:http://www.hut.fi/∼ella/dtyo.ps.zip/ (a PostScript file in .zip format)

4. A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications;Brown;International Journal of Neural Systems,1995

5. Y.-Y. Chen, K.-Z. Lin, S.-T. Hsu, A Self-Learning Fuzzy Controller, IEEE International Conference on Fuzzy Systems 1992, San Diego, CA, USA, March 1992

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