Application of Materials Design Based on Genetic Neural Network

Yilai Zhang; Xue Jian Li; Ling Ke Zeng; Cheng Kang Chang

doi:10.4028/www.scientific.net/KEM.280-283.1837

Paper Titles

Characterization Methods of Pores in Ceramics and Their Analysis
p.1819

Nonlinear Dynamic Analysis and Nonlinear Structure of Self-Propagating High-Temperature Synthesis Process
p.1823

Probabilistic Modeling for Composites with Particle Interface Degrading
p.1827

Numerical Simulation of Temperature Field in Desulphurizing Lance
p.1833

Application of Materials Design Based on Genetic Neural Network
p.1837

Some Aspects of Research on Layered Ceramic Composites in China
p.1841

Carbo-Nitride Coating Treatment of Titanium by a Diffusional Method
p.1847

Development of Functionally Graded Anti-Oxidation Coatings for Carbon/Carbon Composites
p.1851

Design, Processing and Evaluation of Graded Piezoelectric Ceramic Bending Actuators
p.1857

HomeKey Engineering MaterialsKey Engineering Materials Vols. 280-283Application of Materials Design Based on Genetic...

Application of Materials Design Based on Genetic Neural Network

Abstract:

Neural network (NN) is an effective method in the filed of materials design, but the convergent speed is decided by initial weights. This paper proposes genetic neural network algorithm (GNNA) to design materials. Aluminum titanate modification is studied by the method of GNNA. The results indicate the algorithm works well.