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Therefore, the optimization of training sequence is equivalent to the optimization on the phase vector given by (32).
These algorithms can achieve more accurate results by data pre-processing and model optimization, moreover, faster operating speed and lower computational complexity can be obtained by optimization of training process with on-line data reduction.
This indicates that a simultaneous optimization of training factors is more effective in improving the prediction performance of BPNN model than a sequential optimization of individual training factor.
This has profound implications for the design and optimization of training populations.
T&T was a system that performs an optimization of training and testing sub-samples through the iteration of data-splitting procedures on the global database.
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Also they have only focused on simulation and not dealt with optimization of train traffic flow.
Optimization of train timetabling problem has been investigated in different studies [5, 6, 7, 8].
In this paper we study the design and optimization of train timetabling adapted to a dynamic demand environment.
The design methodology is applied to single and multicriteria optimization of train sets in different collision scenarios.
One of the main solutions for implementing energy efficiency is the optimization of train speed profiles to minimize tractive energy consumption.
In this paper, we study the design and optimization of train timetables for a rail rapid transit (RRT) line adapted to a dynamic demand environment, which focuses on creating convenient timetables for passengers.
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