2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) 2019
DOI: 10.1109/icspis48872.2019.9066058
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Data-driven Modelling of Engineering Systems with Small Data, a Comparative Study of Artificial Intelligence Techniques

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Cited by 5 publications
(7 citation statements)
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“…(32) and (33) are the results from A S = 1 and ( 24) and (28). In summary, with R S and C S determined with (30) and (31), the following approximate theoretical outcomes are expected:…”
Section: Resultsmentioning
confidence: 78%
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“…(32) and (33) are the results from A S = 1 and ( 24) and (28). In summary, with R S and C S determined with (30) and (31), the following approximate theoretical outcomes are expected:…”
Section: Resultsmentioning
confidence: 78%
“…According to the approximate analytical formulation presented in Section 5, sensing capacitance/resistance calculated with (30) and (31) should result in a sensing voltage amplitude (A S ) of 1 V and the range of charge presented in (32) and (33) for any given sinusoidal excitation voltage with the amplitude of A e . (32) and (33) are the results from A S = 1 and ( 24) and (28).…”
Section: Resultsmentioning
confidence: 99%
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“…In terms of voltage drop and charge, they are well comparable, and there are ways to systematically deal with the saturation problem, e.g. the methods presented for type iii estimators in [35,40].…”
Section: Resultsmentioning
confidence: 99%
“…The resultant FIS still needs to be cross-validated. A widely accepted cross-validation criterion is that the estimation output by the model calculated with the test data (never used in parameter identification directly or indirectly) should be acceptable [33,34]; that is, E t should be small enough. Here is a pseudocode for the development of the FIS:…”
Section: Step 3 -Development Of Fuzzy Inference Systemmentioning
confidence: 99%