【摘要】 基于ＡＫａｗａｍｕｒａ等人提出的Ｎｅｕｒａｌ－Ｆｕｚｙ协作系统概念［１］，根据模糊系统的结构，确定等价结构的神经网络。网络保留了模糊控制系统的优点，空间结构清晰，同时具有学习功能，并介绍了采用多层神经网络表达模糊控制系统的知识规则、模糊推理和学习算法，给出了控制某导弹纵向姿态的仿真结果，结果表明该控制系统具有较强的鲁棒性。更多还原

【Abstract】 This paper presents a kind of neural network with equal hierarchy according to the structure of the fuzzy system, based on the neural-fuzzy cooperative system concept[A. Kawamura, et, al.]. This network reserves the advantage of the fuzzy control and its special structure is distinct and has learning skills. The knowledge rules, fuzzy deduction and learning algorithm of the fuzzy control system are illustrated by multi-hierarchy neural network. The simulation of the control of the missile lateral pose has proved the control system has a strong robustness.更多还原