Now showing items 1-2 of 2

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    Multi-class Contour Preserving Classifacion 

    Piyabuth Fuangkhon; Thitipong Tanprasert (2012-08)

    The 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 ...
  • Thumbnail

    Multi-class Contour Preserving Classification 

    Piyabute Fuangkhon; Thitipong Tanprasert (2012-08)

    The 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 ...