Paper
Optimization of Path Selection in the Time Variable and Random Network based on BP
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Authors:
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Li jianghong
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Abstract
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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.
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Keywords
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BP; Random Network; Time Variable; Optimal Path; Algorithm
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StartPage
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36
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EndPage
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39
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Doi
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