Training

Training is the process where a machine learning method is adjusted to provide more acceptable results. Typically an error is calculated as training progresses. The type of training to use varies depending on what machine learning method is being used. Some machine learning methods will have only a single type of training available, while other machine learning methods will have many training types available.

Neural Network Training Methods

• Back Propagation
• Resilient Propagation
• Manhattan Update Rule
• Levenberg Marquadt
• Scaled Conjugate Gradient
• Neural Network Simulated Annealing Training
• Neural Network Genetic Algorithm Training
• Nelder Mead

Support Vector Machine Training Methods

• SVM Training
• SVM Search Training