A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA

An Optimization of Master S-N Curve Fitting Method Based on Improved Neighborhood Rough Set

“…In the reduction experiments, we used comparable experiments on those 10 UCI datasets to evaluate the reduction performance of the proposed NRSBCE algorithm with the supervised neighborhood-based attribute reduction (SNBAR) [22], FARNeMF [29] and IFSANRSR [30]. Different with NRSBCE, FARNeMF and IFSANRSR, two neighborhood parameters I δ and O δ were used in SNBAR.…”

“…A semi-supervised reduction algorithm is presented for the feature selection of partially labeled data [28]. In recent years, many researchers have shifted to swarm intelligence reduction algorithms such as PSO [29], ant colony [30] and FSA [31]. In order to achieve fast and efficient reduction, a novel NRSBCE algorithm by using conditional entropy as uncertainty measure of attribute importance is proposed here.…”

A New Performance Degradation Evaluation Method Integrating PCA, PSR and KELM

“…Finally, the SSM prediction method of degradation index is established to predict the probability density distribution of degradation index and obtain the reliability. In addition, some researchers proposed a lot of algorithms, which can be combined with different prediction models [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Eco-Environment Construction of English Teaching Using Artificial Intelligence Under Big Data Environment

“…Chang et al [23] developed a Kinect-based somatosensory English learning system to plan and design learning activities and content. The other algorithms are also proposed in recent years [24][25][26][27][28][29].…”