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"It's the best way to track your progress from day to day, and also to set training parameters".
Training is based on back propagation with adaptive training parameters.
This is why it is important to keep a record of what you have done and only change your training parameters gradually.
On the other hand, methods such as fuzzy c-means, self-organizing maps, and agglomerative hierarchical clustering performed very differently between test and training parameters.
Modified adaptive particle swarm optimization (APSO) is used to determine the training parameters efficiently.
The real-coded genetic algorithm (RCGA) was used to determine the optimal training parameters of SVR.
In Experiment 2, training parameters were altered and SDVL did not occur.
Yet further research with different training parameters or experimental designs is needed to complete the picture.
The influence of network training parameters on the quality of results is also discussed.
Optimal training parameters of SVM can be determined by a two-step cross-validation (CV).
The ANN model architecture and training parameters were optimized, with inputs being selected using correlation analysis and principal component analysis.
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