Adaptive neuro-fuzzy inference system in modelling fatigue life of multidirectional composite laminates

By Anastasios P. Vassilopoulos, R. Bedi. 2008

82 citations recorded by the source corpus.

Subfields: Mechanics of Materials, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/e7d696970aaea0b960fe49275e070fe3ba692888

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanics of Materials

1. Jun Wei
2. Xiang Zhang

In Polymers and Plastics

1. Jun Wei

Citations in the corpus

• High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach (2019, methodology): “[39], where the ANFIS was used for predicting the high cycle fatigue life of composite laminates, the training and test errors were reported to be 25% and 47% respectively (for a model constructed using the same percentage allocation of training data as this work).”