Sentence examples for ccp model from inspiring English sources

A hybrid intelligent algorithm is proposed for the CCP model.

We develop three types of models under different criteria: EVM model, DCP model and CCP model.

The CCP model has four constraints associated with risk levels indicating the possibility of constraint violation.

The SP model is scenario-based and uses penalty coefficients whereas the CCP model assumes a probability distribution and constrains the probability of not meeting demand.

A hybrid intelligent algorithm (HIA) integrating Monte Carlo simulation, artificial neural networks, and an augmented Lagrangian genetic algorithm was developed and applied to solve the CCP model.

It is similar to a Kripke Structure but, due to the nature of the ccp model, it differs from the classical approach in some important points that will be described along the paper.

It consists of chance-constrained programming (CCP) models, risk scenario analysis using the Taguchi method, risk cost tradeoff and feedback for model adaption.

Subsequently, two uncertain chance-constrained programming (CCP) models used for formulating the QFD procedure are set forth, whose objectives are maximizing the consumer satisfaction and minimizing the design cost, respectively.

The obtained accuracy is 98.65%, which is superior to listed previous works using the same CCPs model.

Multivariate regression analysis was performed using all three autoantibodies (model A), without anti-Sa (model B), and without anti-Sa but with a higher threshold of 61 U/ml for anti-cyclic citrullinated peptide (anti-CCP) (model C).

Upon comparing the models in terms of the sums over the charge densities at the BCPs, RCPs, and CCPs, models M2 and M4, representing thiacloprid (2) and imidacloprid (4), form by far the closest pair (Eucledian distance of 0.005 au in terms of the sums of charge densities in Table 3).