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人工神经网络在材料制备工业中的应用
引用本文:黄国兴,李琳,李冰,陈玲,李坚斌.人工神经网络在材料制备工业中的应用[J].材料导报,2006,20(11):80-83.
作者姓名:黄国兴  李琳  李冰  陈玲  李坚斌
作者单位:1. 华南理工大学轻工与食品学院,广州,510640
2. 华南理工大学轻工与食品学院,广州,510640;广西大学轻工与食品工程学院,南宁,530004
基金项目:武器装备预研基金,国家自然科学基金
摘    要:人工神经网络具有非线性的自适应信息处理能力,已广泛应用于化工、通信、控制及优化等领域.在简单介绍人工神经网络方法的基础上,重点综述了该方法在陶瓷工业的原料分类、配方优化、缺陷分析、性能预测等方面的应用情况,指出在应用过程中可能存在的问题以及未来的发展趋势.

关 键 词:人工神经网络  材料制备  陶瓷工业  配方优化  性能预测

The Application of Artificial Neural Network in Materials Fabrication Industry
HUANG Guoxing,LI Lin,LI Bing,CHEN Ling,LI Jianbin.The Application of Artificial Neural Network in Materials Fabrication Industry[J].Materials Review,2006,20(11):80-83.
Authors:HUANG Guoxing  LI Lin  LI Bing  CHEN Ling  LI Jianbin
Affiliation:1. College of Light Industry and Food Sciences, South China University of Technology, Guangzhou 510640; 2. College of Light Industry and Food Engineering, Guangxi University, Nanning 530004
Abstract:Artificial Neural Network (ANN) has been widely used in chemical industry, communication, automated control and formulation optimization etc. because of its unique abilities of non-linearly and adaptively processing data. ANN is introduced and its applications in classification, formulation optimization, defect diagnosis and performance prediction in ceramic industry are summarized in this paper. The existing problems are pointed out and the prospect for the future application of ANN is also put forward.
Keywords:artificial neural network  materials fabrication  ceramic industry  formulation optimization  performance prediction
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