FAST DESIGN ALGORITHM FOR COMPETITIVE LEARNING

The authors present a new, fast computation algorithm which significan tly reduces the training time of the competitive learning (CL) algorit hm without sacrificing its performance. The training process is perfor med in the wavelet domain to identify the winning neural units with a small number of multiplications. Simulation results show that in many cases the algorithm requires < 10% of the computational time required by traditional CL algorithms.