Sentence examples for classification of patterns from inspiring English sources

Fingerprint identification, or the science of dactyloscopy, relies on the analysis and classification of patterns observed in individual prints.

Finally, the classification of patterns has been achieved by using adaptive neuro-fuzzy techniques.

Fig. 3 a f Classification of patterns of the time coefficients of EOF1 using cluster analysis.

Cluster analysis is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters).

A complete classification of patterns of spectra for ion diffusion and trapping (complex impedance and complex capacitance) is provided, in terms of characteristic frequencies that depend on the steady state.

Since Chua and Yang [1, 2] introduced a cellular neural network in 1988, it has received great attention because of its various applications such as classification of patterns, associative memories and optimization, etc.

Second, pattern element identification is modelled as a supervised classification problem and the deep neural network technique is applied for the accurate classification of pattern elements.

In the past few years, the dynamic behaviors of coupled interacting loops neural networks have been widely studied due to their extensive applications in classification of pattern recognition, signal processing, image processing, engineering optimization and animal locomotion, and other areas, see the references therein.

Elementary evaluation models for single patterns regarding the classification of pleomorphic patterns have already been developed [ 33].

The GM, WM, and ventricular RAVENS maps were used as inputs for a previously described and validated SVM-based pattern classifier named Classification of Morphological Patterns Using Adaptive Regional Elements COMPAREE) [ 7] (https://www.rad.upenn.edu/sbia/software/index.html compare).html compare

Metabolic fingerprinting describes the unbiased analysis of the metabolome by investigating metabolite patterns in different experimental groups with the subsequent classification of these patterns into a fingerprint [ 27].