Compared with those conventional neural networks, the Compensate Fuzzy Neural Network has advantages in training step, training time and precision.Moreover its convergency is faster and more stable.

• 与常规模糊神经网络建模相比，补偿模糊神经网络在训练步数、训练时间及其误差精度等方面都优于常规的模糊神经网络，其学习收敛速度快、误差曲线也更加稳定。