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A new arbitrary Polynomial Chaos (aPC) method is presented for moderately high-dimensional problems characterised by limited input data availability.
The variety of models available makes it difficult to select one that is robust under a wide range of agro-pedoclimatic contexts and effective with limited input data and standard values.
The grey-based PROMETHEE II methodology is designed to represent and analyze decision problems under uncertainty, which are characterized by limited input data and uncertain preferences of Decision Makers (DMs).
The KC method has a certain advantage over continuum methods, such as finite element or finite difference, since it requires limited input data that can easily be obtained from field tests.
Some further studies are published only with limited input data and are also reviewed in the following (Table 4).
Thus, it will be ideal if a SARIMA model can be developed for predicting flow, which need only limited input data for model development.
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Dealing with uncertainties and limited input information.
A simple analytical model can estimate gas-condensate well production reasonable with a limited number of input data.
The results stress that high performance can be obtained with a very limited set of input data both in terms of neural network performances and optimization robustness.
The discrepancy is because the algorithm follows the valley pixels more closely while the manual labelings are smoother due to the limited number of input data points.
Nevertheless, this only supports a limited number of input data types (derived from a few species, and, for human, only derived from SAGE experiments or from three Affymetrix microchip platforms), normalization methods and visualization options.
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