“Pattern recognition” is difficult to define because various terms have come to have different
meanings to various groups. References to “pattern recognition,”“learning …

Pattern recognition is a newly developing branch of artificial intelligence that shows a great
deal of promise in providing a generalized approach to solutions of a large class of data …

Machines have assumed many tasks normally thought to require human abilities. They
perform routine duties tirelessly and they err infrequently. Except in certain cases, however …

Analytical chemistry of the recent years is strongly influenced by automation. Data
acquisition from analytica~ instruments-and some times also controlling of instruments-by a …

Pattern recognition is a developing discipline within the field of artificial intelligence that can
be used to solve chemical problems. Possibly the most useful of its four major branches is …

Pattern Recognition is becoming established as a general data analysis tool which has
widespread applications in chemistry. Whenever something must be learned from objects …

Six pattern recognition methods are compared for their ability to extract information of
importance to chemists from a data set of mass spectra. Predictive ability in-creases in the …

plots, but the pair-wise examination is neither effective nor practical. How then does one
attack this dilemma? The historical approach is to solve the problem experimentally. This ap …

The use of pattern recognition as an aid in the analysis of low-resolution mass spectra" has
been discussed since the introduction of the first pattern recognition methodto chemistry. 1-3 …

Negative feedback causes the decision process to be modified to discriminate against
wronganswers, and thus its performance improves with time. One can envision the …