FSWRFood Security Wheat Reserve (Agricultural Act of 1980)
FSWRFlexible Steel Wire Rope
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References in periodicals archive ?
This research work focuses on the development of principal component analysis(PCA-) based forward stepwise regression (FSWR), ANN, ANFIS, and least squares SVM (LS-SVM) hybrid computing models for prediction of BP reactivity to crossed legs by taking into account the anthropometric markers of BP in normotensive and hypertensive subjects.
FSWR. FSWR is a traditional statistical modeling technique used for developing an optimum prediction model by extracting the best anthropometric characteristics or predictor variables depending upon their statistical significance or probability (p) value.
DBP: [R.sup.2] = 98.78%, RMSE = 0.11, and MAPE = 0.84% [37] PCA-LS-SVM outperformed PCA- FSWR, PCA-ANN, and PCA-ANFIS.