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To determine the efficiency of PSO-ANFIS, GA-ANFIS and ANFIS models, a statistical analysis was performed.
Section "Results and discussion" presents the relevant results: The measurement setup is described in Subsection "Setup," while in Subsection "Assessment of the models" a statistical analysis is performed on the results in order to assess the validity of the whole procedure, identifying and discussing the most accurate models.
In order to evaluate the day by day performance of these models, a statistical analysis was performed by using several statistical indicators of mean absolute bias error, root mean square error, normal root mean square error, test statistic, standard deviation and coefficient of determination.
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We used logistic regression models as a statistical modeling strategy because of the dichotomous dependent variable.
The exoniphy program identifies evolutionarily conserved protein-coding exons in a multiple alignment using a phylogenetic hidden Markov model, a statistical model that simultaneously describes exon structure and exon evolution.
In the final model, a statistical significance level of p < 0.05 was adopted.
For development of the base model and the inclusion of covariates in the empirical model, a statistical significance criterion of P < 0.05 (decrease in OFV > 3.84) was used.
A hybrid model consisting of a physical model and a statistical model based on historical plant operation data was proposed.
A Hidden Markov model is a statistical model in which the system being modeled is assumed to be a Markov process with hidden states.
Therefore, the background model is a statistical model containing everything in a scene that remains static and depends on the training set used to build it.
This computation requires knowledge about the emitter's transmission power, the usage of an accurate propagation model, and a statistical model of phenomena such as background noise [22].
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