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本文结合对磨削机理、模湖逻辑、神经网络的研究提出了一种基于FNN的智能型磨削参数决策系统。在这个系统中，首先由上层专家系统决策出初始磨别参数，然后由两个FNN单元对磨削参数进行修正。其中FNNI利用磨削结果对磨削参数进行修正，FNN2利用当前砂轮磨损状况对磨削参数进行修正。通过仿真试验表明该系统是可行的，并具有很强的适应能力。
In this paper, an intelligent FNN-based decision-making system for grinding parameters is proposed based on the research of grinding mechanism, model lake logic and neural network. In this system, the initial parameters are first decided by the upper expert system, then the grinding parameters are corrected by two FNN units. FNNI grinding results using the results of the grinding parameters to be amended, FNN2 use of the current status of the grinding wheel grinding parameters to be amended. The simulation results show that the system is feasible and has strong adaptability.