Neural networks applied to continuous range amplitude measurements of small sinusoidal vibrations

Neural networks can be used to compute the amplitude of small sinusoidal vibrations measured with the Michelson interferometer. By simulations, the feasibility of the method is proven and the noise behavior is examined. The results are of practical interest: they show that the method is applicable to practical, noisy signals, and the precision can be very good.