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The general error prediction method flow of inventory reconciliation is provided.
Aiming at the error of inventory reconciliation caused by different metering systems, the error prediction method of inventory reconciliation during storage and transportation process based on PLS and MFOA-LSSVM is proposed in the paper.
To eliminate the impact of the inventory reconciliation error caused by different metering systems, the error prediction method of inventory reconciliation during storage and transportation process based on partial least squares (PLS) and least squares support vector machine optimized by modified fruit fly optimization algorithm (MFOA-LSSVM) is proposed.
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On the basis of instrument error prediction methods, use modular least squares support vector machines to predict the error of inventory reconciliation and eliminate it subsequently.
Simulations and experiments show that the proposed closed-form iteration combined weighting method can improve the registration accuracy, and the proposed GPR-based volumetric error prediction and compensation method can achieve high accuracy with a simple measurement process.
To this end, a Gaussian process regression (GPR -based volumetric error prediction and compensation method is improved to simplify the measurement process and ensure accurate calibration and compensation.
(3) Estimating Occupancy with Error Prediction (EOwEP): Another method for finding the traffic flow class is extended version of EO.
Therefore, several SI error-probability prediction methods have been proposed [7 9], which can be divided into two groups depending on whether the error-probability prediction is performed on the encoder or the decoder side.
where RMSEspm is the root mean square error of a spatial prediction method, RMSEspm ‐ RK is the root mean square error of the spatial prediction method when residual kriging is added to this method.
For the majority of residues with varying RD values, the sequence encoding scheme 'ALL' (denoted by red-colored curve, which is beneath all the other seven curves in Figure 5) provides the least absolute errors, representing the best prediction method.
In [20], Nishimura combined linear prediction method and error expansion technique that the past eight samples used to compute prediction coefficients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com