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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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Designing expert system for in situ toughened Si3N4 based on adaptive neural fuzzy inference system and genetic algorithms

Zeng, Q.F. and Zhang, L.T. and Xu, Y.D. and Cheng, L.F. and Yan, X.T. and Zu, J.K. and Dai, G.Z. (2009) Designing expert system for in situ toughened Si3N4 based on adaptive neural fuzzy inference system and genetic algorithms. Materials and Design, 30 (2). pp. 256-259. ISSN 0264-1275

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Abstract

Adaptive neural fuzzy inference system (ANFIS) combined with GAs is applied to develop an expert system for designing in situ toughened Si3N4 in this paper. ANFIS combines fuzzy linguistic descriptions with accurate experimental data. GAs have been successfully applied in searching and optimizing very large and varied data spaces. ANFIS models were developed in this paper to predict mechanical properties based on sintering processing or microstructure. And GAs models are developed to predict sintering processing based on mechanical properties or microstructure of this material. A software package was developed to realize the applications mentioned above easily and quickly.