NN-recognition algorithm with Gaussian activation function adjusted to probability range for fiber vibration multi-classification

We propose a simple neural network algorithm with Gaussian activation function to realize an artificial neuron for optical fiber vibration recognition. The Gaussian function parameters are coordinated so that the inputs to the function return only value close to the probability range. This approach provides a suitable training process for classifying small numbers of classes in distributed acoustic sensing (DAS) on field communication cable.