Raw material oil product molecule characterization method and system based on limit gradient boosting tree model
A gradient boosting tree and model technology, which is applied in the direction of material inspection products, manufacturing computing systems, character and pattern recognition, etc., can solve the problem of difficult characterization of the molecular composition of cracked raw oil products, and achieve fast calculation speed and small generalization error Effect
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[0076] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the invention, but not to limit the invention.
[0077] Simulations of feedstock cracking reactions are usually performed by soft sensing methods. Soft sensing method is widely used in modern process control technology because of its real-time, high efficiency and accuracy.
[0078] With the vigorous development of machine learning, more and more diverse machine learning models are applied to prediction and monitoring in process control, and many methods such as artificial neural network, linear regression, maximum Shannon entropy, regression decision tree, etc. are applied to cracking In the reaction simulation of the process of producing ethylene fro...
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