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This paper proposes a linear combination method for time series forecasting that determines the combining weights through a novel neural network structure.
Weighted Linear Combination method was applied to support the decision making process.
Subsequently, these weights were applied to factor maps in a Geographical Information System using a weighted linear combination method.
Experimental results show the feasibility and effectiveness of our weighted detection and linear combination method using molecular beacons.
A non-constraint and single-objective optimization problem is then formulated through the linear combination method of multi-objective optimization and the penalty function method.
The two objective functions are converted into a single-objective problem through the linear combination method, and the deterministic inequality constraints are treated with the penalty function method.
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We further evaluated PCT and lactate combination using the best linear combination (BLC) method [14].
The linear combination (LC) method is a powerful technique for 3D object recognition.
The linear combination (LC) method is used to identify and quantify As species in heterogeneous matrices where more than two arsenic species may coexist.
After the extraction of spatial information from Landsat 8 time series data, maximum entropy and weighted linear combination (WLC) methods were used to identify areas with higher conservation priority.
Unlike ionospheric (dispersive) delays, the tropospheric (neutral) delay in dual frequency GNSS receivers cannot be mitigated through linear combination of frequencies method (Panda and Gedam 2016).
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