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Table 10 Regulator results of gradient ascent algorithm

From: A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions

DatasetInitial (\(\lambda\), \(d\))Number of iterationsFinal (\(\lambda\), \(d\))Precision of row task (%)
Varying rotating speed(0.5, 500)21(0.46, 156)99.3
(0.5, 200)6(0.46, 158)99.3
(0.7, 500)8(0.80, 406)90.5
(0.7, 200)14(0.80, 411)91.4
Varying load(0.5, 500)14(0.60, 296)97.0
(0.5, 200)9(0.60, 285)96.9
(0.7, 500)13(0.64, 296)97.0
(0.7, 200)8(0.64, 279)96.3