Compared with the ocean model based forecast, this method is much easier and does not need larger amount of precise sensor data.
We are convinced that the model presented here can be developed into more refined models of 'value' based forecasting of drug use in a healthcare region.
ML based forecasting models can accommodate different configurations of predictive features, integrate multi-modal variables, assign context-driven weights to putative predictors and identify multiple sets of variables that exhaust the predictive power of available features [ 20- 22].
In order to solve the false alarm problem in the diesel vapour detection and alarm system in engine room of ship, this paper builds an pre-alarm model based on grey forecasting theory.
However, a study by Willis and colleagues [ 42], using a population pharmacokinetic model based on Bayesian forecasting and adapted for individual pharmacokinetic, demographic, and covariate data, resulted in predictions that were too imprecise.
The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs.
In the present work a spatiotemporal model, based on climatic forecast using the concept of growing degree days [ 16], retrospectively predicts a latitudinal and altitudinal spreading of the potential transmission area of Dirofilaria, mainly in the Russian Federation and Ukraine, near the boundaries where temperatures are close to the threshold for extrinsic incubation of parasite larvae.
Additionally, the narrower widths of the 95% prediction intervals for our forecasting model relative to the forecasting model based only on census trends over time, suggest that more precise predictions can be obtained using our forecasting model.
In this paper, ANN and ANFIS based forecast model for predicting the PV Generation are presented.
For example, one would hardly implement changes to a numerical weather forecast model based on a sample of just 20 forecasts.
However, the forecast precision of most existing ANN based forecast models has not been satisfactory to researchers and engineers so far, and the generalization capability of these networks needs further improving.
