"model training process" is a correct and usable phrase in written English.
You can use it when discussing the development of a mathematical model. For example: "The model training process was long and arduous, but ultimately successful."
With this, the model training process and prediction process can be evaluated independently of each other.
Future land use/cover scenarios are projected by using generated parameters in the model training process.
These techniques aim to enhance performance by exploiting knowledge from the unlabeled instances by incorporating them into different aspects of the target model training process.
We also combined the NARX model and the general regression neural network (GRNN) as a hybrid model to predict hysteretic behaviour of the SSD of which the damper design was hidden from the model training process.
While for the proposed SCCS, since the sea clutter signal is decomposed before prediction, a good and stable fitting performance can be obtained by two simple-RBF networks without any parameter adjustment or gate model training process, which makes it a better choice for sea clutter modeling.
We have proposed a new scoring system CRanker for peptide identification, in which the confidence on each PSM is taken into account in the model training process.
The IVS considered for external validation was never used in feature reduction and model training processes.
According to this model, the training process is seven steps which are selecting companies, selecting engineers, training stage-1, finding problems, training stage-2, finding solutions, and summing up.
Training (entries and losses) The purpose is to model the training process so as to predict the number of entrants in each year.
A genetic algorithm (GA) was coupled with an ISVR algorithm to automatically search the optimal parameters of the ISVR model during the training process.
A modified Levenberg-Marquardt algorithm is developed for the training of BP neural network, which can back propagate the errors between entire actual system and the constructed dynamic model into the training process of the neural network.
