Comparison of the three solutions using the fixed point error metric (40).
- Harish S. Bhat (479312)
- Garnet J. Vaz (479313)
Publication date
November 2013
DOIAbstract
<p>Comparison of the three solutions using the fixed point error metric (40).</p
<p>Comparison of the three solutions using the fixed point error metric (40).</p
<p>Comparison of absolute errors between numerical methods and proposed method for δ = 2.0.</p
The accuracy of different k values is calculated and compared by two metrics.</p
<p>Measurement errors of the three models and comparison between the three models, for each measurem...
<p>Comparison of the measurements between the three models, for each measurement.</p
Comparison of total system error across all measurements for different polynomial fits.</p
Comparison of peak prediction error at different forecasting horizons (metrics: magnitude error).</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
Comparison of means and (standard errors) for the 3 significant interactions for survival.</p
<p>A comparison between numerical and exact solutions at different time levels.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The comparison of the real weights and the weights estimated from different methods.</p
Comparison of crack optimization results using different image recognition methods.</p
<p>Comparison of mean constant errors for both groups in each condition (mean ± standard error)</p
Comparison of average error in finding the global optimum for CEC 2017 problems.</p
<p>Comparison of mean absolute errors for both groups in each condition (mean ± standard error)</p
<p>Comparison of absolute errors between numerical methods and proposed method for δ = 2.0.</p
The accuracy of different k values is calculated and compared by two metrics.</p
<p>Measurement errors of the three models and comparison between the three models, for each measurem...
<p>Comparison of the measurements between the three models, for each measurement.</p
Comparison of total system error across all measurements for different polynomial fits.</p
Comparison of peak prediction error at different forecasting horizons (metrics: magnitude error).</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
Comparison of means and (standard errors) for the 3 significant interactions for survival.</p
<p>A comparison between numerical and exact solutions at different time levels.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The comparison of the real weights and the weights estimated from different methods.</p
Comparison of crack optimization results using different image recognition methods.</p
<p>Comparison of mean constant errors for both groups in each condition (mean ± standard error)</p
Comparison of average error in finding the global optimum for CEC 2017 problems.</p
<p>Comparison of mean absolute errors for both groups in each condition (mean ± standard error)</p
<p>Comparison of absolute errors between numerical methods and proposed method for δ = 2.0.</p
The accuracy of different k values is calculated and compared by two metrics.</p
<p>Measurement errors of the three models and comparison between the three models, for each measurem...
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