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Characteristic equation Chemical oscillations

Also in chemistry artificial neural networks have found wide use. They have been used to fit spectroscopic data, to investigate quantitative structure-activity relationships (QSAR), to predict deposition rates in chemical vapor deposition, to predict binding sites of biomolecules, to derive pair potentials from diffraction data on liquids, " to solve the Schrodinger equation for simple model potentials like the harmonic oscillator, to estimate the fitness function in genetic algorithm optimizations, in experimental data analysis, to predict the secondary structure of proteins, to predict atomic energy levels, " and to solve classification problems from clinical chemistry, in particular the differentiation between diseases on the basis of characteristic laboratory data. ... [Pg.341]


See other pages where Characteristic equation Chemical oscillations is mentioned: [Pg.22]    [Pg.223]    [Pg.90]    [Pg.114]    [Pg.417]    [Pg.284]    [Pg.6190]    [Pg.361]    [Pg.224]    [Pg.184]    [Pg.51]    [Pg.170]    [Pg.110]    [Pg.565]    [Pg.16]   


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