LAIJinhui,LIANGSong.Short-timetrafficflowforecastingmethodbasedonBPneuralnetworkoptimizedby ACS.ComputerEngineeringandApplications,2014,50(10):244-248. Abstract:Trafficflowpredictionisaveryimportantresearchareaofintelligenttransportationsystems.Traditionalprediction methodsdoesnotworkverywellbecauseofthecomplexityoftheinflu...
Artificial neural networks (ANNs) are increasingly used for flood forecasting. The performance of these models relies on the selection of appropriate inputs. However, Input Variable Selection (IVS) is typically performed using expert knowledge or simple linear methods. This research compares and evaluat...
Methods of cash flow forecasting There are two main methods of forecasting: the direct method and the indirect method. Both serve the same purpose of predicting the amount of cash that moves in and out of your business. However, the direct method focuses more on short-term and medium-term ...
Postprocessing of Ensemble Weather Forecast Using Decision Tree–Based Probabilistic Forecasting Methods The tree-based ML techniques, namely, natural gradient boosting (NGB), quantile random forests (QRF), and distributional regression forests (DRF), are ... P. Benáek,A. Farda,P. těpánek - ...
Accurate and real-time traffic passenger flows forecasting at transportation hubs, such as subway/bus stations, is a practical application and of great significance for urban traffic planning, control, guidance, etc. Recently deep learning based methods are promised to learn the spatial-temporal featur...
What these models do differently is apply advanced statistical methods to the historical data to generate data in the future and include that data when calculating the forecast. When you predict receivables or payables, you would use...
Go to Cash and bank management > Cash flow forecasting > Cash flow forecast setup. On the General ledger tab, on the Liquidity accounts FastTab, select Add. In the Main account field, select the ledger account. Select the Remittance en route check box.Set up the minimum cash balance for ...
To include “what if?” transactions that need to be considered when forecasting but which are not entered into the Great Plains system*,* mark the Cash Flow Transactions option. You will enter the “what if?” transactions manually in the Cash Flow Transactions window. To drill down to the...
The SARIMA models and the nonparametric regression forecasting methods are evaluated. It was found that the proposed heuristic forecast generation methods improved the performance of nonparametric regression, but they did not equal the performance of the SARIMA models. The multivariate state-space models ...
The direct method of forecasting cash flow relies on this simple overall formula: Cash Flow = Cash Received – Cash Spent And here’s what that cash flow forecast actually looks like: Let’s start by estimating your cash received and then we’ll move on to the other sections of the cash...