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The performance of different training functions in the BP neural network model.

Journal: Sensors (Basel, Switzerland)

Article Title: Inverse Piezoresistive Nanocomposite Sensors for Identifying Human Sitting Posture

doi: 10.3390/s18061745

Figure Lengend Snippet: The performance of different training functions in the BP neural network model.

Article Snippet: Typical training functions (corresponding Matlab functions designated in parentheses) include: gradient descent (traingd), gradient descent with momentum (traingdm), gradient descent with adaptive learning (traingda), resilient backpropagation (trainrp), and Levenberg-Marquardt backpropagation (trainlm).

Techniques: