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For each scan pair, we set a suitable maximal estimation error Δmax in advance.
On a finite set of measured data, an optimality criterion that minimizes the maximal estimation error between the data and the proposed fuzzy model output is used.
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Note that the same maximal estimation errors for all tested scan pairs were used in the 4PCS algorithm for computing the estimation successful rate.
The maximal estimation errors were set as Δmax = 5 units, Δmax = 1 m, Δmax = 2 m and Δmax = 5 m for small object models G a - G c, the indoor models G d - G h, the large indoor models G i and the outdoor models G j - G k, respectively.
Its lowest estimation error is comparable to the maximum estimation error of the other estimators.
The number and spatial location of the multi-type sensors are determined by adding the optimal sensor which gains the maximal reduction of the estimation error of reconstructed responses.
The exposure estimation error at each test point is defined as error = estimate − observation.
(b) K estimation error.
(a) Frequency estimation error.
c Estimation error.
a Estimation error.
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