摘要
人工神经网络（ＡｒｔｉｆｉｃｉａｌＮｅｕｒａｌＮｅｔｗｏｒｋｓ，ＡＮＮｓ）是一类试图模拟生物体神经系统结构的新型信息处理系统．文中用反向传播网络研究Ｖ－ＰＴＣ材料诸性能与其配方及工艺间的关系，通过Ｂ－Ｐ算法建立了Ｖ－ＰＴＣ材料诸性能与其配方及工艺间的非线性映照关系，根据Ｖ－ＰＴＣ材料的优化配方和工艺条件，计算机预报相应材料诸性能的结果与实验值相一致．
The Artificial Neural Network is a new type of information processing system based on modelling the neural system structure of the human brain. It can be used to extract useful information from the experimental data of V-PTC materials. The nonlinear relationships between the multiple properties and the affecting factors including technical conditions and compositions are available by using the B-P algorithm. The results of computer-aided prediction of the multiple properties of V-PTC matarials have been proved to be consistent with the experimental values.
出处
《应用科学学报》
CAS
CSCD
1996年第3期375-378,共4页
Journal of Applied Sciences
关键词
V-PTC材料
神经网络
模式识别
过电流保护
设计
V-PRC materials
srtificial neural network
pattern recognition
computational chemistry
