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提出了基于模糊多层感知器神经网络模型的尺寸加工精度在线智能监控新方法，它对于缺乏精确的数学描述或具有时滞、非线性等复杂实际对象，是一种行之有效的技术，并具有及时性和预报性好的特点。描述了多层感知器神经网络的工作原理，阐明了基于人的模糊经验规则实现工件尺寸精度智能监控的三层感知器控制模型和学习算法，并进行了试验仿真。结果表明，方法有效，具有应用前景。
A new online intelligent monitoring method based on the fuzzy multi-layer perceptron neural network model is presented, which is an effective technique for the lack of accurate mathematical description or complex real objects such as time delay and nonlinearity. With timely and good forecasting characteristics. The working principle of multi-layer perceptron neural network is described, and the three-layer perceptron control model and learning algorithm based on human fuzzy experience rules to realize the intelligent monitoring of workpiece dimensional accuracy are illustrated and the experimental simulation is carried out. The results show that the method is effective and has application prospects.