Stoichiometric identification method for plastic type

Abstract

Disclosed is a chemical metrology discrimination method for plastic type which comprises: employing optical spectrum information of plastic infrared spectrum characteristic area, selecting characteristic area infrared spectrum as input variable of competitive back propagation artificial nerve network with nonlinear iterative least square variable selecting method; the competitive back propagation artificial nerve network comprises front end back propagation nerve network and back end competitive function layer, taking unit matrix as network training target, wherein the unit matrix having the amount of known plastic resin sample as rank, having training on network connection weight value with known type plastic sample input matrix and analog noise input matrix and establishing network connection; input variable being converted by back propagation network layer and competitive function layer and the most significant neuron being shown as result, therefore plastic type discrimination system being established. The inventive method has the advantages of being rapid and accurate.

Description

technical field [0001] The invention relates to a method for identifying plastic resin models—a chemometric identification method for plastic models. Background technique [0002] Plastics are widely used in various fields of industrial and agricultural production, and are also bulky goods in import and export trade. Different types and models of plastic resins have great differences in material properties and values, and have different application fields. Therefore, the identification of their models is of great significance and practical value for the identification of goods in production, processing, and import and export trade. [0003] The identification of various plastic resins in the prior art, such as polyethylene (PE), polypropylene (PP), polystyrene (PS) etc., is to carry out qualitative identification to the characteristic peaks and bands of the sample infrared spectrogram, namely Using infrared spectroscopy to classify and identify plastics is very effective, s...

AI Technical Summary

Problems solved by technology

However, it is very difficult to use infrared spectroscopy to identify the type of a certain type of plastic resin, because the molecular structure difference of different types of plastics in the same type of plastic is very small, so this work can basically not be completed by infrared spectroscopy

Although other modern advanced analysis methods have been used to analyze samples, due to the similar properties of the identified plastic resins, good identification results are often not obtained, so how to efficiently extract representative information from the data is the key to solving the problem

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