CAJ | 학술논문

制备了LLDPE/EVA/ZnO纳米复合材料,并测试了其力学性能.结合BP 神经网络和Markov链建立了BP-Markov模型,并利用此模型对LLDPE/EVA/ZnO纳米复合材料的多指标性能进行了预测.结果表明BP-Markov模型应用于聚合物/无机物纳米复合材料的多指标性能预测具有较高的精度和可靠性,Markov链解决了神经网络在做多指标性能预测时误差的随机性和波动性问题,充分的发挥了神经网络与Markov链预测模型的优点,为在数据有限且具有随机因素的情况下实验数据的分析提供了一种新的思路.
제비료LLDPE/EVA/ZnO납미복합재료,병측시료기역학성능.결합BP 신경망락화Markov련건립료BP-Markov모형,병이용차모형대LLDPE/EVA/ZnO납미복합재료적다지표성능진행료예측.결과표명BP-Markov모형응용우취합물/무궤물납미복합재료적다지표성능예측구유교고적정도화가고성,Markov련해결료신경망락재주다지표성능예측시오차적수궤성화파동성문제,충분적발휘료신경망락여Markov련예측모형적우점,위재수거유한차구유수궤인소적정황하실험수거적분석제공료일충신적사로.
LLDPE/EV A/ ZnO nanocomposite material were prepared, and the mechanical properties were tested.A BP-Markov model was constituted in the base of BP neutral network and Markov chain. And the multitarget properties of EVA/LLDPE/ZnO nanocomposite material were predicted by this BP-Markov model.It was showed that the method was effective and feasible in the use of the multi-target properties prediction of polymer/inorganic nanocomposites material.When the multi-target properties of polymer/inorganic nanocomposites material were predicted, the randomicity and fluctuation of the prediction errors were solved by the Markov chain. The advantages of BP neutral network and Markov chain were exerted sufficiently. That offered a kind of new ideas for analysis of experiment data, under the condition of limited data and stochastic factors.