Exact(8)
In this paper, a novel pattern recognition model for kick diagnosis is proposed.
Finally, the SVM-based pattern recognition model is used to classify different ECG patterns.
The shape pattern recognition model is a basic model of shape theory.
Researches on the shape pattern recognition model mainly focuses on two aspects, namely, intelligence of the recognition algorithms and precision improvement of the standard patterns.
Nevertheless, the grey fuzzy Markov pattern recognition model has rarely been employed to improve forecasting and prediction of industrial accidents in industrial organisations.
On the first note, an original method based on grey fuzzy Markov pattern recognition model was developed to track uncertainties, imprecision and randomness in historical data.
In this communication, our purpose is to present an understanding of the first analysis from both the theoretical perspective and a practical application viewpoint of the conceived theory of grey fuzzy Markov pattern recognition model for accident forecasting under reasonable assumptions.
The values of RX, RY, and Q2 were used as indicatives to assess the robustness of a pattern recognition model.
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