2020 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) 2020
DOI: 10.1109/sdpc49476.2020.9353150
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Fault Prediction and Health Management Technology of Fire Control System

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“…First, we use logistic chaotic mapping to obtain a set of uniformly distributed initialized population data, and then we use the DLH search strategy to improve the gray wolf. Compared with the ordinary GWO algorithm, the gray wolf algorithm improved by the DLH search strategy increases the candidate wolf diversity, thus reducing the trouble of the GWO algorithm to obtain a locally optimal solution [6] easily.…”
Section: Dlh-gwo-svm Model Constructionmentioning
confidence: 99%
“…First, we use logistic chaotic mapping to obtain a set of uniformly distributed initialized population data, and then we use the DLH search strategy to improve the gray wolf. Compared with the ordinary GWO algorithm, the gray wolf algorithm improved by the DLH search strategy increases the candidate wolf diversity, thus reducing the trouble of the GWO algorithm to obtain a locally optimal solution [6] easily.…”
Section: Dlh-gwo-svm Model Constructionmentioning
confidence: 99%