Paper

Optimization of Path Selection in the Time Variable and Random Network based on BP


Authors:
Li jianghong
Abstract
This paper focuses on dealing with some problems in a dynamic transportation network that is full of stochastic situation, time-oriented and hard to work out the optimal path. To tackle these issues, an optimal path selection algorithm based on BP is proposed. The algorithm utilizes neuron model combined with two training and learning methodologies which are EBP and LMS for the sake of improving velocity of convergence and running time. The simulation results indicate that this algorithm works better than traditional BP in this context in terms of velocity of solution, rate of downward gradient and performance.
Keywords
BP; Random Network; Time Variable; Optimal Path; Algorithm
StartPage
36
EndPage
39
Doi
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