For the near-surface total intensities (ΔT), the RMS error was about 38 nT and somewhat lower for the anomalies restricted to the Australian mainland and Tasmania with the oceanic areas excluded.
Being limited by the observational conditions, the accuracy of the observed result was limited, the maximal accidental error was about 6" and there existed certain systematic errors.
In addition, the error is about 0.04 for the training of 1,000 data points or 8,000 slot(s).
Moreover, the error is about 0.047 for the training of 1,000 data points or 8,000 slot(s).
In addition, the error is about 0.09 for the validation of 30,000/8 data points or 30,000 slot(s).
In fact, if we consider the numerical error for α = 0.5 at t = 1, the error is about 0.066 for h = 0.01 but 0.047 for h = 0.005.
The solutions in both cases are locally stable and the error is about 10−6. Figure 1 Infective population and susceptible population with (pmb{alpha =0}), (pmb{alpha=2.5}), (pmb{alpha=5}) and (pmb{alpha=6.15}).
The solutions in both cases are locally stable and the error is about 10−6. Figure 2 Infective population and susceptible population with (pmb{I_{c}=0.1}), (pmb{I_{c}=0.15}), (pmb{I_{c}=0.2}) and (pmb{I_{c}=0.25}).
For the lengths of sequences analyzed in this paper, the error is about 1% or less, corresponding to about one fifth of the variation in fractal dimension seen in this paper.
The measurement error is about 0.5 m/s at 30 km, and 10 m/s at 70 km.
