Abstract
By combining Neural Networks with Principal Component Analysis, an algorithm about multi-signal intelligence data fusion is proposed, which is an effective feature selection method. The experiments in sampling real time ship's sensor data show that its performance is better. The proposed method can prove the fusion rate effectively and reduce the PCA computation time. The discussed algorithm has strong practicability. © 2011 Springer-Verlag.
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Xiong, J., Wang, Q., Wu, H., Ye, B., & Zhang, J. (2011). Multi-signal intelligence data fusion algorithm based on Pca. In Lecture Notes in Electrical Engineering (Vol. 132 LNEE, pp. 267–273). https://doi.org/10.1007/978-3-642-25899-2_37
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