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基于BP算法的IFPN参数优化方法

, PP. 1779-1785

Keywords: 直觉模糊集,直觉模糊Petri,,产生式规则,BP,算法

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Abstract:

针对直觉模糊Petri网(IFPN)模型自学习能力差的缺陷,将神经网络中的BP误差反传算法引入IFPN模型的参数寻优过程,提出一种基于此的参数优化方法.该算法通过建立变迁点燃和直觉模糊推理的近似连续函数,摆脱了参数对经验的依赖,更加符合实际系统的需求,同时使得IFPN具有较强的泛化能力和自适应功能,推理结果更加准确可信.最后通过典型实例验证了该参数优化方法的有效性和优越性.

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