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- W644311148 abstract "The issue about optimal route selection of an in-vehicle traffic flow guidance system was discussed. By using the definition of general road weight, different kinds of requirements were fully considered. Based on a neural network with transient chaos and time-variance gain, neural network structure and computational energy function for solving optimal route selection was constructed, and then an algorithm which can support the driver in deciding on an optimal route to his preference was proposed. The proposed algorithm has many merits such as transient chaos and stable convergence so as to overcome the drawbacks of easily getting stick in local extremum in conventional Hopfield neural networks. It can reach a stable convergent state after shortly reversed bifurcation. Simulation results show that using NNTCTG in searching the optimal route between an appointed origin-destination pair always converges to the globally optimal solution and it has higher efficiency of searching than HNN." @default.
- W644311148 created "2016-06-24" @default.
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- W644311148 date "2008-04-01" @default.
- W644311148 modified "2023-09-27" @default.
- W644311148 title "Optimal Route Selection Algorithm Based on Chaotic Neural Networks" @default.
- W644311148 hasPublicationYear "2008" @default.
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