A Slag Glass-Ceramic ES based on ANN is constructed in this study, which compose with samples-database and mles-database~ reasoning model. explaining model and friend interface. This ES can do the material designing and properties predicting quickly and effectively.
本研究基本上建立了一个包含数据库和知识库、推理机、解释器和良好的人机界面的矿渣微晶玻璃神经网络专家系统，并初步具有了进行矿渣微晶玻璃材料设计和性能预测的功能。
参考来源 - 矿渣微晶玻璃神经网络专家系统研究·2,447,543篇论文数据，部分数据来源于NoteExpress
利用熔融法制备矿渣微晶玻璃。
研究了人工神经网络在矿渣微晶玻璃材料设计中的应用。
Artificial neural network was introduced into slag glass-ceramic material designing.
本文详细地介绍了各种矿渣微晶玻璃的研究现状，指出了今后的发展趋势。
The research situation of varieties of slag glass-ceramics was introduced in detail, and its development trend was also pointed out.
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