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- W2364895066 abstract "The compression of flight data is the key technology for reducing storage space and communication flow in transmission.Considering the characteristics of flight data,a novel near-lossless data compression algorithm was proposed by using the wavelet neural network based on particle swarm optimization.In this algorithm,the parameters of wavelet network were regarded as the reconstruction information of original data.On the basis of BP algorithm in wavelet network,the particle swarm optimization was introduced to improve global search ability and convergence speed of wavelet network learning algorithm,and overcome the premature problem.At the same time,reconstruction error was taken as the heuristic information for searching the best framework of wavelet network through particle iteration on the premise of keeping low degree of distortion.The experiment results of flight data compression showed that the algorithm is feasible and effective,which can obtain better compression performance." @default.
- W2364895066 created "2016-06-24" @default.
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- W2364895066 date "2010-01-01" @default.
- W2364895066 modified "2023-09-28" @default.
- W2364895066 title "Application of Particle Swarm Optimization Based Wavelet Network in Flight Data Compression" @default.
- W2364895066 hasPublicationYear "2010" @default.
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