首页> 外文期刊>Journal of Fire Sciences >The Application of Artificial Neural Network (ANN) Technique to Formulation Design of Flame Retardant Polymers-II. Halogen-Free Flame Retardant polymeric Composites
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The Application of Artificial Neural Network (ANN) Technique to Formulation Design of Flame Retardant Polymers-II. Halogen-Free Flame Retardant polymeric Composites

机译:人工神经网络技术在阻燃聚合物配方设计中的应用-Ⅱ。无卤阻燃聚合物复合材料

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摘要

The application of artificial neural network (ANN) to formula- tion design of the natural color, halogen-free flame retardant materials was conducted by means of flame retardant expert system (FRE 2.0). This work involves an ANN model with three objects. The optimized outputs, such as LOI, TS and EL were shown to be in good accordance with experiments. An intuitive Graphical analysis led to dealing with the correlation between performance and Components in formulations, where normally subjected to serious nonlinearity And/or multiobjects. It should be emphasized that together with the Three-layered BP (back-propagation) network-based modeling, one can do what Can hardly be done before with conventional techniques.
机译:通过阻燃专家系统(FRE 2.0),将人工神经网络(ANN)应用于天然彩色无卤阻燃材料的配方设计。这项工作涉及具有三个对象的ANN模型。经优化的输出(如LOI,TS和EL)显示出与实验良好的一致性。直观的图形分析导致处理性能和配方中的组分之间的相关性,而配方中通常会受到严重的非线性和/或多对象的影响。应该强调的是,与基于三层BP(反向传播)网络的建模一起,人们可以完成以前用传统技术很难做到的事情。

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