Goodness-of-fit parameters measure the fitting ability and are used to measure the degree to which the model is able to explain the variance contained in the training set [118].
To analyze the mechanism of drug release from the matrix-tablets, the dissolution data were fitted to various kinetic models, the release kinetic parameters and the fitting ability (correlation coefficient, r) are listed in Table 4.
This finding suggests that the ANN showed a better prediction and fitting ability compared to the RSM for the non-linear regression analysis.
These comparisons indicate what computers the programs run on, the ability of each program to provide parameter initial guess values, the types of equivalent circuit models available, curve fitting ability (convergence properties and number of iterations) and user-friendliness.
In computer simulations, we compare four types of connection weights (i.e., real numbers, symmetric triangular fuzzy numbers, asymmetric triangular fuzzy numbers, and asymmetric trapezoidal fuzzy numbers) in terms of the fitting ability to training data and the computation time.
The wavelet decomposed approach combines the flexibility of the global methods and the accuracy of local methods by inheriting the versatility of the Rayleigh Ritz approach and the superior fitting ability of the wavelets.
Unlike some existing analytic methods, in which a fixed shape of the trajectory is assumed, the proposed trajectory model in this paper is based on the initial and target orbit elements, through which the fitting ability for the trajectory shape is effectively improved.
Hence, parameters such as the coefficient of determination for the training set (R2training) that measure the fitting ability of a model play only a minor role, typically unrelated to predictive power.
As a non-linearisable kinetic model and with the goal of comparing its fitting ability to the previous considered models, a non-linear regression analysis was done to 14 adsorption kinetic model.
This kind of test reveals the fitting ability of the data characteristics captured by the model.
