Designing expert system with artificial neural networks for in situ toughened Si3N4

✍ Scribed by Qingfeng Zeng; Jiakui Zu; Litong Zhang; Guanzhong Dai

• Publisher: Elsevier Science
• Year: 2002
• Weight: 232 KB
• Volume: 23
• Category: Article
• ISSN: 0261-3069
• DOI: 10.1016/s0261-3069(01)00076-0

✦ Synopsis

Artificial neural networks ANN were applied to develop an in situ toughened Si N expert design system in this paper. 3 4

Mainly depending on experiments and tests, traditional research in materials science is costly and time-consuming. ANN belongs to a new kind of artificial intelligence technique, which can surmount difficulties in data analysis and model development, so it is suitable for non-linear and unstructured information processing in materials research. Four ANN models were developed to reciprocally predict the microstructure, sintering processing and mechanical properties of this material. Software with user-friendly graphical interface was developed with MATLAB language, which can help to easily and quickly realize the applications mentioned above.