摘要
在用模式识别、人工神经网络法总结ＰＴＣ和Ｖ－ＰＴＣ材料诸性能与其配方及工艺间关系基础上，建立了能检索和预报ＰＴＣ和Ｖ－ＰＴＣ材料性能与其配方及工艺间双向关系的专家系统ＰＶＰＥＣ。该系统将为ＰＴＣ和Ｖ－ＰＴＣ材料优化设计提供有效的辅助手段。
The expert system PVPEC is built to retrieve and predict the relationship between the multiple properties aid their compositions and technical conditions of PTC and V-PTC materials. The rules found by pattern recognition optimization and artificial neural network are used for computerized prediction of optimized design of PTC and V-PTC materials in the expert system PVPEC.
出处
《计算机与应用化学》
CAS
CSCD
1996年第1期39-42,共4页
Computers and Applied Chemistry
基金
上海市科学技术发展基金
关键词
PTC
V-PTC材料
模式识别
神经网络
专家系统
and PV-PTC materials, Pattern recognition Artificial neural network, Expert system
