Pattern recognition and classification

Dunn III, W.J. and Wold. S. SIMCA Pattern Recognition and Classification. In QSAR Chemometric Methods in Molecular Design, Methods and Principles in Medicinal Chemistry, 2, Ed. van de Waterbeemd, H., Verlag Chemie, Weinheim, Germany, 1995. 

A second line of study having to do with the nature of information to be learned focuses on pattern recognition and classification. An example is the investigation of how individuals recognize the letters of the alphabet or recognize words. 

Data analysis Pattern recognition and classification and forecasting are the techniques used for data analysis. Data analysis is a possible method for generating new knowledge. 

Feedforward neural networks (FNNs) are the most common type of NN, which have been used in a wide variety of real-world applications, including pattern recognition and classification, system identification and control, and forecasting. Applications of FNNs in fashion supply chain operations involve prediction, classification and model identification (Guo et al, 2011). 

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