National Education Department of China [02103]; Education Department of Hunan Province [02A008]; Central South University of Forestry Technology [2005090]; Scientific Research Fund of Central South University of Forestry Technology [07031B]
机构署名：
本校为第一且通讯机构
院系归属：
土木工程学院
摘要：
The paper is aimed to exploit a creep constitutive mode of TC11 titanium alloy based on RBF neural network. Creep testing data of TC11 titanium alloy obtained under the same temperature and different stress are considered as knowledge base and the characteristics of rheological forming of materials and radial basis function neural network (RBFNN) are also combined when exploiting the model. A part of data extracted from knowledge base is divided into two groups: one is learning sample and the other testing sample, which are being performed training, learning and simulating. Then predicting val...
