Browsing by Subject "Neural networks (Computer science)"
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ItemMulti-class contour preserving classification( 2012-08) Piyabute Fuangkhon ; Thitipong TanprasertThe original contour preserving classification technique was proposed to improve the robustness and weight fault tolerance of a neu- ral network applied with a two-class linearly separable problem. It was recently found to be improving the level of accuracy of two-class classi- fication. This paper presents an augmentation of the original technique to improve the level of accuracy of multi-class classification by better preservation of the shape or distribution model of a multi-class problem. The test results on six real world multi-class datasets from UCI ma- chine learning repository present that the proposed technique supports multi-class data and can improve the level of accuracy of multi-class classification more effectively.
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ItemMulti-class contour preserving classification( 2012-08) Piyabute Fuangkhon ; Thitipong TanprasertThe original contour preserving classification technique was proposed to improve the robustness and weight fault tolerance of a neu- ral network applied with a two-class linearly separable problem. It was recently found to be improving the level of accuracy of two-class classi- fication. This paper presents an augmentation of the original technique to improve the level of accuracy of multi-class classification by better preservation of the shape or distribution model of a multi-class problem. The test results on six real world multi-class datasets from UCI ma- chine learning repository present that the proposed technique supports multi-class data and can improve the level of accuracy of multi-class classification more effectively.
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ItemNeural Networks for credit scoring (NNCS)(Bangkok : Assumption University, 1997) Mana Keatkamjaikajon ; Nantika Khamkorn, jt. auth. ; Wanvisa Sangpet, jt. auth.
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