|
Abstract The cotton foreign fiber referred to the non-cotton fiber such as hair, linen, silk, fiber, dyeing silk and plastic film. To improve the cotton foreign fiber recognition accuracy, the feature selection based on cooperative game theory and extreme learning machine was fused together. The optimal feature set was selected and the dataset was rebuilt, and then the extreme learning machine was trained on the rebuilt dataset. In the experiments, the comparisons were made with support vector machine and k-nearest neighbour ( k NN) . The experimental results showed that the accuracy of the proposed method, support vector machine and k NN were 90. 15% 、88. 46% and 86. 30%, respectively. Compared to the other two methods, the proposed method had the best accuracy among them and the number of features was reduced from 75 to 25.
|
|
Received: 02 April 2018
|
|
|
|
2018, Vol. 31 
