The phrase "algorithm average" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or computer science when discussing the average value calculated by an algorithm.
Example: "The algorithm average of the dataset provides a more accurate representation of the central tendency than the simple mean."
Alternatives: "average calculated by the algorithm" or "mean value from the algorithm".
Table 5 Robustness comparison of our algorithm (average values).
Algorithm Average EDP (m Joule Second) Constant 0.61 Linear 0.67 Linear modulus 0.60 Exponential 5.00 Exponential modulus 0.60.
Algorithm Average location error (meters) Max RSS 40 CL 46 RWL 28 REWL 33 REWL 29 REWL 28 Figure 12 Algorithm location error for experimental data.
Table 4 Comparative experimental results of the average localization error between fuzzy and non-fuzzy algorithms Localization algorithm Average localization error (m) IT2FLS 0.8 K-nearest neighbor (KNN) 1.1 Lateration 1.9.
Figure 4 Depending on η (known by the algorithm), average MSE and segmentation rate Υ I C E. Sources generated from Example 1 with r i.i.d., parameter λ=5.
Table 1 The DOA estimation result of different frequency signal using two methods Signal frequency Average of DOA estimation of MUSIC algorithm Average of DOA estimation of self-adapting root-MUSIC algorithm 331Hz 90.2768 90.0377 800Hz 89.7857 89.8085 1kHz 89.8571 89.8598 1.5kHz 89.8636 89.4449 3kHz 89.6324 89.7719 Figure 5 Time-bearing display of signal with 1.5kHz.
The average person has 32 transactions a month, and his rounding algorithm averages about 45 cents for each of those transactions.
Therefore to test and compare this algorithm, averaging conflict aggregation algorithm is proposed that requires fewer mathematical information processing steps.
The location error for each algorithm averaged over all transmitter locations can be found in Table 2.
Figure 8 Comparison of different combinations of | N S | and | N A | using the proposed algorithm (averaged localization accuracy).
This algorithm averages the data for both eyes and eliminates the jitter while preserving saccades.
