Related content

Automatic defect classification in long-range ultrasonic rail inspection using a support vector machine-based smart system

By McNamara J D   di Scalea F Lanza   Fateh M  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 46, Iss. 6, 2004-06 ,pp. : 331-337

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite

Preliminary study of classification of defects by ultrasonic pulse-echo signals using an artificial neural network

By de Carvalho A A   Veiga J L B C   da Silva I C   Pereira C M N A   Rebello J M A  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 45, Iss. 11, 2003-11 ,pp. : 754-757

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite

Credit Decision-making Modeling of Banks with Support Vector Machine on Empirical Samples from Chinese Listed Companies between 2001 - 2010

By Lv Lu-Ya   Shi Fan   Ni Xiao-Qin   Sun Jie   Huang Qing-Hua   Li Hui  

Recent Patents on Computer Science, Vol. 4, Iss. 1, 2011-01 ,pp. : 53-59

Bentham Science Publishers

Access to resources Recommend Favorite

Automatic classification approach to weld defects based on PCA and SVM

By Mu Weilei   Gao Jianmin   Jiang Hongquan   Wang Zhao   Chen Fumin   Dang Changying  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 55, Iss. 10, 2013-10 ,pp. : 535-539

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite

Combining fuzzy logic and neural networks in classification of weld defects using ultrasonic time-of-flight diffraction

By Shitole C'Shekhar N   Zahran O   Al-Nuaimy W  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 2, 2007-02 ,pp. : 79-82

The British Institute of Non-Destructive Testing

Access to resources Recommend Favorite