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An Intelligent Evaluation Method to Analyze the Competitiveness of Airlines
Mathematical Problems in Engineering
An intelligent evaluation method is presented to analyze the competitiveness of airlines. From the perspective of safety, service, and normality, we establish the competitiveness indexes of traffic rights and the standard sample base. The self-organizing mapping (SOM) neural network is utilized to self-organize and self-learn the samples in the state of no supervision and prior knowledge. The training steps of high convergence speed and high clustering accuracy are determined based on thedoi:10.1155/2020/8589346 fatcat:q7lyc6quhfd4rmgfl2egeijtoi