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The Reinforcement Rib Performance Prediction Based on the BP Algorithm and the Finite Element Analysis

机译:基于BP算法的增强肋功率预测及有限元分析

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摘要

The reinforcement rib design is one of the key parts in entire bottle design. This paper presents the rib performance prediction system based on the BP algorithm and the finite element analysis, which adopts the finite element analysis results as its learning samples, sets up the rib performance prediction system with BP artificial neural network. The results show that the artificial neural network plays an important role in rib performance prediction; meanwhile it can guide the bottle design in practical terms.
机译:加强肋设计是整个瓶装设计中的关键部件之一。 本文介绍了基于BP算法的肋骨性能预测系统和有限元分析,采用有限元分析作为其学习样本,建立了BP人工神经网络的肋骨性能预测系统。 结果表明,人工神经网络在肋骨性能预测中起着重要作用; 同时它可以以实际术语指导瓶子设计。

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