Pattern recognition using

Fig. 21. Correspondence between BP networks and traditional pattern recognition using linear discriminants.

Looney, C. G. Pattern Recognition Using Neural Networks. Oxford University Press, New York, 1997. 

Pattern recognition using cahxarene receptors that bind to proteins via surface electrostatic interaction has been used to identify a variety of proteins (Kolusheva et al. 2006). Amphiphilic calixarenes terminated with either amino or phosphate groups were incorporated into mixed PDA/phospholipid vesicles, which were incubated with various proteins that differed in their isoelectric points (pi). As expected, proteins with low pi values resulted in a large CR with liposomes containing cationic calixarene receptors. Each protein was characterized by a unique ACR value, where... 

Problem posing and problem solving Conceptualizing a problem Willingness to use multiple approaches to a problem Pattern recognition Using critical reasoning... 

Juts, P.C. Pattern Recognition Used to Investigate Multivariate Data in Analytical Chemistry, Science 232, 1219-1224 (1986). 

Demand pattern recognition. Demand pattern recognition uses customer data and channel insights along with multidimensional data (time, geography, channel, brand, product group, and product type) to improve decisions. 

Although most impedance spectra are relatively simple, in some cases - most often in corrosion - they are very complex. Macdonald [1] suggested doing analysis by pattern recognition using artificial neural networks coupled with extensive libraries of reaction mechanisms. However, although such tools are very promising they are still rarely used [620] and not yet commercially available. 

Aleksander, I. and Stonham, T.J. (1979) Guide to pattern recognition using random-access memories. Computers and Digital Techniques, 2 29-40. 

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