Real-time estimation method of reactor state transition probability based on ensemble learning
A state transition probability and integrated learning technology, applied in integrated learning, calculation, complex mathematical operations, etc., can solve problems such as loss of economy, limited operating range and flexibility
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[0065] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.
[0066] Step 1: Evaluate the uncertainty of the real-time measurement signal.
[0067] A major challenge in reactor state estimation is noise, signals that are random (unpredictable) and carry no useful information. Due to noise, the measurement of any physical quantity is uncertain, and the degree of uncertainty (ie uncertainty) is usually expressed by the 95%-95% confidence interval of the probability distribution.
[0068] Because the FID is fixed in the reactor and it is difficult to directly evaluate the uncertainty, the detector accuracy can be evaluated by comparing the error standa...
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