Feedforward Neural Network for Force Coding of an MRI-Compatible Tactile Sensor Array Based on Fiber Bragg Grating

Figure 9

Regression performance of the inverse function implemented via the neural network, for training, validation, test, and all sessions. This performance is related to the initial assessment in which the network was trained by considering all the 36 indentation experiments and randomly selecting 25% of the time-samples of each indentation position as training data, 50% as validation data, and 25% as test data.