@inproceedings{af4df8d355a241d3a1b48255a53ff8e6,
title = "On-line outliers detection by neural network with quantum evolutionary algorithm",
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.",
author = "Lu, {Tzyy Chyang} and Juang, {Jyh Ching} and Yu, {Gwo Ruey}",
year = "2007",
month = jan,
day = "1",
doi = "10.1109/ICICIC.2007.421",
language = "English",
isbn = "0769528821",
series = "Second International Conference on Innovative Computing, Information and Control, ICICIC 2007",
publisher = "IEEE Computer Society",
booktitle = "Second International Conference on Innovative Computing, Information and Control, ICICIC 2007",
address = "United States",
note = "2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 ; Conference date: 05-09-2007 Through 07-09-2007",
}