Sentence examples for predicting capabilities from inspiring English sources

These techniques offer features such as: learning from experience, handling noisy and incomplete data, helping with decision making, and predicting capabilities.

The state-of-the-art regarding the predicting capabilities of some of the physics models available in MCNPX for Accelerator-Driven System design is discussed.

Consequently, test and results of the presented implementation of Decisional DNA case studies support it as a technology that can improve and be applied to the aforementioned technologies enhancing them with intelligence by predicting capabilities and facilitating knowledge engineering processes.

This methodology sheds light on the role and impact of different parameters of the model on its performance (in-particular, the mapping and predicting capabilities of the rule-based computing).

Thus, after analysis and results, we conclude that the Decisional DNA, as a unique multi-domain structure, can be applied and shared among multiple technologies while enhancing them with predicting capabilities and facilitating knowledge engineering processes inside decision making systems.

However, the predicting capabilities of Artificial Neural Networks (ANNs) and Fuzzy Inference System (FIS) as well as the Multivariate Regression (MR) techniques have been evaluated and compared using the same input variables.

The predicting capability of correlations has been discussed.

Finally, the predicting capability of Sliper was validated under field conditions by measuring full-scale pumping pressure.

The predicting capability of these modeling approaches is compared and the Findley power law is preferred to be adopted.

Furthermore, experimental heat transfer test on an industrial packed bed char cooler is performed for validating the model predicting capability in heat recovery process.

For the models involving empirical or fitting constants, these parameters have been calibrated against the available experimental values, thus to enhance the predicting capability of the models.