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Then a nonlinear autoregressive neural network with external input (NARXNET) model was selected and applied for forecasting analysis of the changes in TSS concentrations over time on a rolling basis onward using the IDFM technique.
Once the model has been calibrated, the analysis of the actual stress and deformation conditions has been evaluated, the stability condition of the entire structure computed and a forecasting analysis of any intervention that could be realized to guarantee the underground public access has been performed.
The comparative analyses show that the results obtained by the two methods are stable and in good agreement and signify that the optimal embedding dimension obtained from the non-linear forecasting analysis compares well with the optimal number of inputs used for the neural networks.
For univariate forecasting analysis, the use of recurrent topology is more common than the feed-forward networks.
As workforce plans hinge on effective forecasting, analysis and preparation, the failure to craft and implement an effective one will almost certainly deliver an adverse impact to a company's ability to acquire, inspire and retain talent.
However, in the field of financial forecasting, especially in multivariate forecasting analysis, the feed-forward topology has gained much more attention.
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Using the software, forecast analysis for the re-frozen of Feng Huoshan permafrost Tunnel is made.
Table 6 summarises the demand data (passenger per year) for the corridor based on a combine historic data and demand forecast analysis.
At that level, forecast analysis resulted in very similar performance with very high sensitivity and specificity.
We used forecast analysis in which we left out the last 3 time points from each column of the data matrix in each run.
Conventional forecast analysis is always deterministic, rather than taking stochastic temperature and parameters into account.
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