A fast learning algorithm for adaptive linear combiner

The paper suggests a learning algorithm for adaptive systems and perceptrons different from traditional learning algorithms The weight updating is kept with "instant" input and output signals. The convergence property is discussed. Also, several examples including system identification are given to show its high convergence speed compared with the LMS algorithm.