A neural network classifier based on HMM framework was proposed.It can be used to identify timevarying signal, which an ordinary neural network lacks of, and can stress the differences of different signals. Evolutionary learning of the neural network weights using genetic algorithm solves the problem of falling into local minimum point which BP and Baum-Welch algorithmnace. An example of recognizing radar return signal successfully by the neural netwrok was presented.