Technique of learning rate initialization for efficient training of MLP: Using for computing of Lyapunov exponents

A new approach for the training of multilayer feedforward neural networks is proposed. Simulation results are presented in the problem of the calculation of the largest Lyapunov exponent to demonstrate an efficiency of the method, which solves the problem of the training step choice in multilayer perceptrons.