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中文摘要：
针对PVC片材压延过程是一个复杂的非线性过程、难以建立精确数学模型的特点，提出了厚度自动控制神经网络模糊智能方法，设计了输入为“编码”的神经网络模糊控制器。通过仿真证明了神经网络模糊控制的可行性，其控制精度优于常规方法。
英文摘要：
Because PVC sheet calendering was a complex nonlinear process, it was difficult to establish a precise mathematical model on thickness control. Therefore, a neural network fuzzy intelligent method to automatically control the thickness was proposed and a neural network fuzzy controller with coding-in was devised. The simulation proved that the neural network fuzzy control system was feasible and the control precision was better than that of conventional methods.
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