The invention relates to an implicit triad neural network and an optical fiber nonlinear damage equalization method, and belongs to the technical field of optical fiber communication and equalization.The neural network comprises an implicit triad neural network and an optical fiber nonlinear damage equalization method based on the implicit triad neural network. The method comprises the followingsteps: 1) generating a training set, a verification set and a test set, specifically, generating a binary bit stream, generating a label symbol stream, obtaining a symbol stream to be processed, generating a sample and dividing a data set; 2) optimizing an implicit triad neural network to obtain an optimal implicit triad neural network, initializing a hyper-parameter search process, initializing an adjustable parameter iteration process, calculating a loss function and gradients of all adjustable parameters, updating the adjustable parameters, iterating and evaluating an optimization result, and selecting an optimal implicit triple neural network; 3) testing the implicit triple neural network to obtain an equalized signal. Compared with the prior art, the neural network and the method arelower in calculation cost, and the equalization effect can be further improved.