Sentence examples for adaptation methodologies from inspiring English sources

Moreover, we have proposed a novel unsupervised approach, based on clustering of the trained DNN internal representations, which provides the deep neural architecture with the ability to adapt to new data cases, without suffering the catastrophic forgetting problem, usually met in DNN fine-tuning adaptation methodologies.

A number of instrument translation and cross-cultural adaptation methodologies have been proposed [ 14, 16- 20].

This paper presents the Nested modifier-adaptation methodology applied to the operation of distillation columns and the results obtained are compared with the previous modifier adaptation methodology using dual control optimization.

A dynamic parameter adaptation methodology for Ant Colony Optimization (ACO) based on interval type-2 fuzzy systems is presented in this paper.

Since the dynamic part of the adaptation methodology proposed here is not currently implemented, we used simulation to predict how the defined adaptation strategy for the Adaptable-ASK system would behave in a real runtime situation.

To overcome these issues the economic optimization problem is modified following the Modifier Adaptation methodology to bring the process to the real optimum despite the presence of uncertainty by using plant measurements.

A promising approach to solve this problem is based on an adaptation methodology relying on extending component interfaces with protocol information which describes their interaction behaviour, and using a high-level notation to express the intended connection between component interfaces.

In addition, we used the adaptation methodology described in Section "A novel method for deep neural network adaptation and transparency" to successfully retrain the DNN architecture so as to accurately classify the new data as well, while keeping the formerly achieved performance.

The results are compared with the previous modifier adaptation methodology using dual control optimization showing that the method finds a KKT point of the process with the advantage that no experimental gradient information is required and with less sensitivity to process noise.

A Chinese version of MYMOP is developed using standard cultural adaptation methodology.

The present adaptation methodology is particularly effective in overcoming language differences as the questionnaire goes through several stages of refinement during the adaptation process.