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With the A380, Airbus will be able to match Boeing's product line model for model, from 100-seat, single-aisle aircraft all the way up to the 747.
In the suggested approach, genetic algorithm is employed to find the optimal type reduction of the interval type-2 fuzzy model for model prediction.
One of the most obvious characteristics of MPA-based methods is that they use multiple models instead of a single model for model evaluation.
In the absence of travel survey data, the proposed method uses similar data (traffic counts and land use data) as a four-step model for model development and calibration.
Data from identification testing using these signals is the basis for the subsequent steps of frequency-response estimation and control-relevant parameter estimation, with the final result being a discrete-time state-space model that serves as the nominal model for Model Predictive Control.
Table 2 Characteristics of fuzzy model for model of ANFIS Parameter Operator AND prod OR probor Implication prod Aggregation max Difuzzification wtaver Table 3 The best parameters set parameters for the ANFIS (Genfis2) Parameter Value Range of influence 0.23 Squash factor 1.25 Accept ratio 0.5 Reject ratio 0.15.
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The problem is that I don't think Nissan will sell as many big pickups or big SUVs as Toyota since model-for-model Nissan sales usually trail Toyota's.
A real model for models to follow.
We then propose a specific nonparametric Bayesian topic model for modelling text from social media.
Third, the paper suggests a conceptual model for modeling infrastructures in general.
Therefore, the purpose of this paper is to propose a new model for modelling RPBs.
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