A related paper [ 8] uses the latent variable modeling based on the hierarchical Bayes approach to incorporate the dependence between the observations.
Prism [ 12] is a tool developed specifically for NHS Wales, using a 37-variable model based on Welsh data sets, and updated monthly with data from GP practices, and designed to reflect the particular service configuration of the Welsh NHS and the service needs of the Welsh population.
A series of 2-variable, 3-variable, and 6-variable models, based on functional variations on, and interactions between, the PCS-12 and MCS-12 were developed.
Targeting such limitation, a new pattern recognition method – variable predictive model based class discriminate (VPMCD) is introduced into roller bearing fault identification.
Secondly, GA-VPMCD method is presented by combination genetic algorithm (GA) with conventional variable predictive model based class discriminate (VPMCD) approach.
The classifiers adopted in this paper are fuzzy neural networks (FNN), variable predictive model based class discrimination (VPMCD) method and support vector machine (SVM).
In addition, in the design of the classifier, targeting the limitation of existing pattern recognition method, a new pattern recognition method-variable predictive model based class discriminate (VPMCD) is introduced into roller bearing fault identification.
Using this probability function, we designed an algorithm, namely Algorithm II in the Method section, to simulate the two-variable reaction model based on the SSA.
This paper reports several significant changes over previously developed SP method: the torsion-angle term for profile-profile matching, real-value-based SA profile, and variable gap-penalty model based on fractional-powered insertion/deletion profiles.
To investigate whether a more detailed consideration of spatial variations in sediment concentration could affect our results, we developed a spatially variable sediment concentration model based on measurements in our site46, which includes three mangrove sites and six saltmarsh sites (Table 1).
