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- W3143073112 abstract "The idea of recurrent neural network is proposed for on-ramp control. The principles of Elman recurrent neural network and on-ramp control are formulated. Then the occupancy and speed measured in the upstream and downstream portion of a freeway are selected as input variables, and the on-ramp controller based on Elman recurrent neural network is designed. An improved algo-rithm is used to train the neural network. Simulation experiments show that this controller has such advantages as small learning error and good generalization ability. It is found to be potentially applicable in practice." @default.
- W3143073112 created "2021-04-13" @default.
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- W3143073112 date "2007-01-01" @default.
- W3143073112 modified "2023-09-27" @default.
- W3143073112 title "Design of freeway ramp controller based on recurrent neural network" @default.
- W3143073112 hasPublicationYear "2007" @default.
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