Sentence examples for forecasting classification from inspiring English sources

It is used to apply neural networks to solve real-world forecasting, classification and function approximation problems.

A brief sketch of NNs is followed by a review of their applications in forecasting, classification, distribution and fisheries management since 1978.

The SVM method is comparatively new learning system that is used in both forecasting and classification problems.

In the context of smart industries, learning machines currently have various uses such as self-reconfiguration or self-quality improvement, which can be classification forecasting problems.

On the other hand, they provide solutions to a broad range of specific problems in applied engineering, such as speech recognition, financial forecasting, or object classification.

Nowadays, neural networks can be configured in a variety of arrangements to perform a range of tasks including pattern recognition, data mining, classification, forecasting, and process modeling.

In this specific context, it is still impossible to combine all types of forecast using ensemble classification methods.

The results suggest that when performing classification forecast for data sets of inquiry diagnosis for CHD, ML-kNN achieves better results and it seems to be a practicable solution for multi-label problems in clinical diagnosis in TCM at present.

Classification forecast is performed on 555 cases of inquiry diagnosis for CHD in TCM, with four algorithms, multi-label ML-kNN, RankSVM and BPMLL as well as single label kNN.

For AHE classification and forecasting, the methodology is applied in two data sets, a small data set (37 records) and a big one (2892 records).

STATISTICA Data Miner divides the modeling screen into four general phases of data mining: data acquisition; data cleaning, preparation, and transformation; data analysis, modeling, classification, and forecasting; and reports.