The Lyapunov function is used to analyze the convergence of the general learning rule, and it is proved in theory that t通过理论推导，用李雅普诺夫函数分析和验证通用参数学习规则的学习收敛性，揭示参数学习算法朝最小误差方向调整参数的内在因素。