Sentence examples for pattern classification systems from inspiring English sources

We demonstrate a novel application of nonlinear systems in the design of pattern classification systems.

The transcription systems discussed up to this point may be considered rule-based pattern classification systems, which are designed taking into account specialist knowledge.

We show that pattern classification systems can be designed based upon training algorithms designed to control the qualitative behaviour of a nonlinear system.

Especially multifunction radars (MFRs) capable of performing several simultaneous tasks by utilizing complex, dynamically varying scheduled waveforms are a major challenge for automatic pattern classification systems.

From this point of view, feature selection can be considered as an essential component required for developing high performance pattern classification systems that use high dimensional data [1 3, 17].

In this paper, we describe techniques for designing high-performance pattern classification systems using multiple hierarchical overlapped self-organising maps (HOSOM) (Suganthan, Proceedings of the International Joint Conference on Neural Networks, WCCI'98, Alaska, 1998).

As represented in Fig. 5, Fig. 5a shows the classification results from the radar product, while Fig. 5b shows the classification results from the precipitation pattern classification system.

The first module, referred to as the precipitation pattern classification system based on deep learning in this paper, applies deep learning techniques to automatically extract useful features from the matrix of polarimetric measurements.

The module of precipitation pattern classification system based on deep learning is applied to identify the precipitation pattern corresponding to a range bin, and the other module of precipitation particle identification system based on fuzzy logic is utilized to judge the hydrometeor-type corresponding to a range bin.

The pattern classification system used in this study had been derived from a scheme originally developed to classify timeline rhythms (bell patterns) in the music of African origin [ 43].

These markings are also consistent with those noted in other reports, although in most reports there is no form of pattern classification system presented except for the six case studies performed by Heiner et al. [ 7, 11].