Pattern recognition principles

Tou. J. T., and Gonzalez, R. C, Pattern Recognition Principles. Addison-Wesley, Reading, MA, 1974. 

The use of pattern recognition principles [82] is intended to classify and discover the main features of the experiment. In this cases elements of factor analysis [38], [72] must also be used. It becomes obvious that the more complex a reaction is the more difficult evaluation will be. In any case one finds that the less the spectra of the various reactants differ, the fewer the number of steps of reactions and included components can be. 

To a significant extent, the theoretical basis of modern communication theory arose from the work of Claude Shannon at Bell Labs. [80]. In these seminal works, the concept of the information entropy associated with an arbitrary signal arose. In 1981, Watanabe realised the close association between entropy minimization and pattern recognition [81]. An association between entropy minimization and the principle of simplicity is also recognized [82]. The basic mathematical form of signal... 

Wade, G. and Meyyappan, A. (1987). Scanning tomographic acoustic microscopy principles and recent developments. In Pattern recognition and acoustical imaging (ed. L. A. Ferrari). SPIE 768, 267-74. [18]... 

The main advantage of piezoelectric devices is that, in principle, any process that results in a mass change at an interface can be measured. However, this very nonselective transduction process is also a major disadvantage in that it mandates the use of even more selective surface chemistries than are required for other types of chemical transducer systems. This will make the implementation of piezoelectric chemical sensing devices for ocean measurements rather difficult, but by no means impossible. Indeed, the coupling of pattern recognition techniques with an array of marginally selective piezoelectric transducers may, in the future, make these devices more useful for quantitative ocean measurements. 

In this paper, we report the development of ISEs that have been designed by using molecular recognition principles. Specific examples include the development of polymer membrane anion-selective electrodes based on hydrophobic vitamin B12 derivatives and a cobalt porphyrin. The selectivity patterns observed with these electrodes can be related to differences in the structure of the various ionophores, and to properties of the polymer film. 

Fig. 2. The principle configuration of an electronic nose system where the analyte mixture is contacted with a chemical sensor array that produces raw data which subsequently are treated with a pattern recognition algorithm that delivers the predicted result...

In supervised pattern recognition, a major aim is to define the distance of an object from the centre of a class. There are two principle uses of statistical distances. The first is to obtain a measurement analogous to a score, often called the linear discriminant function, first proposed by the statistician R A Fisher. This differs from the distance above in that it is a single number if there are only two classes. It is analogous to the distance along line 2 in Figure 4.26, but defined by... 

The concept of transferability and a detailed understanding of these amide modes provides the basis for quantitative estimation of secondary structure for unknown proteins and polypeptides. The quantitative methods currently used to analyze vibrational spectra of proteins can be classified into two categories (1) methods based on decomposition of band contours into underlying components characterized by distinct frequencies, and (2) methods based on principles of pattern recognition. 

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. 

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