Sentence examples for characteristic prediction from inspiring English sources

This paper presents an improved technique for unknown parameter estimation and electrical performance characteristic prediction of photo voltaic (PV) module.

The model is used in the development of a computational tool, which enables the automated and accurate transformer characteristics prediction, adopted to the manufacturing process.

High accuracy, low computational cost, minimization of user interaction and functional interface are the main advantages of the software, rendering it a powerful computational tool for characteristics prediction of single and dual voltage transformers, suitable for an automated design environment.

In this paper, according to the engine requirements of airworthiness provisions about cooling system in CCAR 33, the modification of the design method of air system in jet engine is proposed, in which the accuracy of characteristics prediction of jet engine is improved.

We perform some experiments of psychological characteristics prediction and analyse the experiment results in Sect.

By building experimental drug binding property characteristics, prediction platforms can be established that defines the "possible treatment windows".

Generally, with variable selection that eliminates redundant or irrelevant characteristics, prediction models become more accurate, more cost-effective, and faster than those using full variable sets.

While both the models are able to reproduce the experimentally observed global spray and combustion characteristics, predictions using the KH-ACT model exhibit closer agreement with measurements in terms of liquid penetration, cone angle, spray axial velocity, and liquid mass distribution for non-evaporating sprays.

We still apply them to psychological characteristics predictions including microblog users' personality prediction across different genders and different districts, and microblog users' depression prediction across different genders.

In this paper, based on our previous work [7], we intend to work on more domains of psychological characteristics predictions and propose some new local regression transfer learning methods, including training-test k-NN method and adaptive k-NN methods, which are more effective and can adaptively set the unknown parameter in prediction functions.

A multi-dimensional heterogeneous space model is presented for a range of geological characteristic parameters prediction, such as formation pore pressure, formation drillability, rock strength, lithology and so on.