Comparison of peak prediction error at different forecasting horizons (metrics: magnitude error).</p
<p>Comparison of the training time and forecasting accuracy (training 40%, testing 60%).</p
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
<p>PRISM and NRCC temperature mean and trend magnitude prediction error averages (standard deviation...
Comparison of evaluation metrics of models at different forecasting horizons.</p
Comparison of peak prediction time delay at different forecasting horizons (unit: days).</p
Comparison of absolute amplitude error of measured and estimated for each model.</p
The Comparison between predicted results and measured results and error analysis in the Keshen reser...
Comparisons of the forecasting performance of all the alternative models for China.</p
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Comparison of the forecasting performance of all the alternative models for Vietnam.</p
Comparisons of the forecasting performance of all the alternative models for India.</p
Distribution of forecasting errors (Percentiles) for Offshore Windfarms 1, 2 and 3.</p
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
<p>Comparison of the three solutions using the fixed point error metric (40).</p
<p>Comparison of mean -errors at the genus level (smaller values are better).</p
<p>Comparison of the training time and forecasting accuracy (training 40%, testing 60%).</p
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
<p>PRISM and NRCC temperature mean and trend magnitude prediction error averages (standard deviation...
Comparison of evaluation metrics of models at different forecasting horizons.</p
Comparison of peak prediction time delay at different forecasting horizons (unit: days).</p
Comparison of absolute amplitude error of measured and estimated for each model.</p
The Comparison between predicted results and measured results and error analysis in the Keshen reser...
Comparisons of the forecasting performance of all the alternative models for China.</p
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Comparison of the forecasting performance of all the alternative models for Vietnam.</p
Comparisons of the forecasting performance of all the alternative models for India.</p
Distribution of forecasting errors (Percentiles) for Offshore Windfarms 1, 2 and 3.</p
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
<p>Comparison of the three solutions using the fixed point error metric (40).</p
<p>Comparison of mean -errors at the genus level (smaller values are better).</p
<p>Comparison of the training time and forecasting accuracy (training 40%, testing 60%).</p
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
<p>PRISM and NRCC temperature mean and trend magnitude prediction error averages (standard deviation...
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