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The adenosine and polysaccharide contents in cordyceps militaris were analyzed with near infrared spectroscopy (NIRS) by establishing models with partial least square (PLS). Varies pretreating spectra methods were used for conversion of NIRS in order to remove the noise in the spectra. The pretreated spectra were applied to develop PLS quantitative analysis models respectively. Each model was optimized...
Although neural network has generally been recognized as a useful tool for empirical data modelling, its utility in modelling industrial process plant data needs to be compared against conventional statistical techniques. This paper presents such a comparison through two case studies. In each case, data from a real refinery frationator were modelled by neural network and by linear regression. The...
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