Pressure Measurement of the Flexible Pipe Algorithm in Aerial Refueling based on SVR with Parameter Optimization

作者: Wanxu Zhang , Xiangnan Li , Lin Wang

DOI: 10.2991/IIICEC-15.2015.459

关键词: Pressure measurementAlgorithmGeneralizationArtificial neural networkData modelSupport vector machineEngineeringSet (abstract data type)

摘要: With the problem that pressure of flexible pipe in aerial refueling was hard to be measured directly by sensors, a measurement algorithm based on support vector regression (SVR) with parameter optimization proposed this paper. First, data model large amount historical SVR set up. Then parameters were optimized cross-validation and grid-search method. Experimental results show method has high prediction precision good generalization ability comparing BP neural network.

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