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the RMSE vs ANN developed model

These two phrases are not directly comparable as they serve different purposes. 'The RMSE' refers to the Root Mean Square Error, a statistical measure used to evaluate the accuracy of a model. 'ANN developed model' refers to a model developed using Artificial Neural Networks. They can be used together in a sentence to describe the evaluation of the model's performance.

Last updated: March 17, 2024 • 827 views

This phrase is correct and commonly used in the context of evaluating the accuracy of a model.

"the RMSE"

This phrase is used to refer to the Root Mean Square Error, a statistical measure that indicates the average difference between predicted values and actual values in a model.

Examples:

  • The RMSE of the model is 0.25, indicating a good level of accuracy.
  • When the RMSD is normalized by the mean measured value, is usually called coefficient of variation of the RMSE, CV(RMSE). It is analogous to the coefficient of ...
  • ... has the same units as the quantity being estimated; for an unbiased estimator, the RMSE is the square root of the variance, known as the standard deviation.
  • Jun 30, 2014 ... (2009). The RMSE is more appropriate to represent model perfor- mance than the MAE when the error distribution is expected to be Gaussian.
  • The RMSE of a model prediction with respect to the estimated variable Xmodel is defined as the square root of the mean squared error: where Xobs is observed ...

This phrase is correct and commonly used to describe a model developed using Artificial Neural Networks.

"ANN developed model"

This phrase is used to specify that a model has been created using Artificial Neural Networks (ANN) as the underlying technology.

Examples:

  • The ANN developed model showed superior performance compared to traditional regression models.
  • performance of different ANN developed model based on rainfall alone and rainfall and runoff together as input for an asphalt plane and found that taking both ...
  • Jan 19, 2012 ... The effects of different operating conditions on cleaning performance were elucidated using the ANN developed model. Moreover, optimum ...
  • controller for the ANN developed model and compare its performance with the plant proportional controller. 2. OVERVIEW OF THE NUCLEAR POWER PLANT ...
  • Apr 17, 2015 ... ANN developed model to predict the process response gives excellent results when compared with experimental tests. Table 4 shows the ...

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