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利用神经网络ＢＰ算法、变步长学习函数和多线程技术构造了聚丙烯酸酯一环氧树脂互穿聚合物胶粘层保护材料和聚丙烯酸－聚有机硅氧烷互穿聚合物表面涂层材料的摩岩石刻复合保护材料的合成最佳配比专家系统。结果表明，由本专家系统指导合成的两套复合保护材料（一套按最佳预报性能指标合成、另一套按最差预报性能指标合成）在透水气性、吸水率和拉伸强度这三个关键技术指标上，预报性能值基本上达到定量化程度。
The polyacrylate-epoxy resin interpenetrating polymer adhesive layer protective material and the polyacrylic acid-polyorganosiloxane interpenetrating polymer surface coating material were constructed by using BP neural network algorithm, variable step learning function and multithreading technology Of the rock composite rock protection composite materials best synthetic expert system. The results show that two composite protective materials synthesized by the expert system (one synthesized according to the best forecast performance index and the other set synthesized according to the worst forecast performance index) are in the three categories of water vapor permeability, water absorption rate and tensile strength The key technical indicators, the forecast value of performance has basically reached a quantitative level.