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- W2170338651 abstract "This paper proposes a structure that combines neural networks and quantum evolutionary algorithm, called a neural network with quantum evolutionary algorithm (NN-QEA), for the establishment of a nonlinear map when data are subject to outliers. Neural networks have the advantage of powerful modeling ability. Quantum evolutionary algorithm has the characteristics of rapid convergence and good global search capability. NN-QEA combines the advantages of both and realizes the goal of modeling and outliers rejection simultaneously. The effectiveness and the applicability of NN-QEA are demonstrated by experimental results on the modeling of the compressor characteristic map." @default.
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- W2170338651 date "2007-09-01" @default.
- W2170338651 modified "2023-09-25" @default.
- W2170338651 title "On-line Outliers Detection by Neural Network with Quantum Evolutionary Algorithm" @default.
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- W2170338651 doi "https://doi.org/10.1109/icicic.2007.421" @default.
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