An improved Levenberg-Marquardt learning algorithm for neural networks based on terminal attractors

摘要

In this paper, an improved Levenberg-Marquardt learning algorithm based on terminal attractors for feedforward neural networks is proposed. The effectiveness of the proposed algorithm in improving learning speed is shown by the simulation results.