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A New AdaptiveControl Forecasting Method
C.K. NG
Department of Management Sciences,
City University of Hong KongAbstract
An adaptive forecasting method in which the smoothing parameter is solely data
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How to fill out a new adaptive-control forecasting
How to fill out a new adaptive-control forecasting
01
Step 1: Gather historical data on the variables you want to forecast.
02
Step 2: Determine the appropriate adaptive control algorithm to use.
03
Step 3: Set up the adaptive-control forecasting model using the chosen algorithm.
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Step 4: Input the historical data into the model and train it.
05
Step 5: Validate the model's accuracy by comparing its forecasts with the actual data.
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Step 6: Adjust the model parameters if necessary to improve accuracy.
07
Step 7: Fill out the new adaptive-control forecasting by inputting the current data.
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Step 8: Monitor the forecasts regularly and make adjustments as needed.
Who needs a new adaptive-control forecasting?
01
Businesses that rely heavily on accurate demand forecasting.
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Companies that operate in industries with high demand volatility.
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Organizations that want to improve their supply chain planning and inventory management.
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Financial institutions that require accurate predictions for investment decisions.
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Manufacturers that need to optimize production planning based on demand fluctuations.
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