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C. C. Hung, H. Ijaz, E. Jung, and B.-C. Kuo # School of Computing and Software Engineering Southern Polytechnic State University, Marietta, Georgia USA # Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung, Taiwan, R. O. C.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
Figure 1:  Each X i  represents one component of the pixel vector for multispectral bands.  L denotes the number of bands used.  Each neuron in the output layer corresponds to one spectral class where its spectral means are stored in the connection between the inputs and the output neurons.
Figure 2: SOM Neural Network
[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object]
[object Object],Credit: Masaryk University, Brno, Czech Republic , Wed 08 Apr 2009
[object Object],[object Object],[object Object],[object Object],Credit: Masaryk University, Brno, Czech Republic , Wed 08 Apr 2009
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object]
[object Object],avg of    BEE     SOM     BEE+SOM   100 runs max mean std max mean std max mean std iris 94 69.15 0.3334 92.67 85.43 0.0824 93.33 90.53 0.014
[object Object],Algorithms Max Mean Var. Accur. [0.9, 1] Accur. [0.85, 0.9) Accur. [0, 0.85) ABC 93.33 % 89.20 % 0.0557 325 155 20 SOM 93.33 % 86.35 % 0.0304 97 229 174 ABC + SOM 93.33 % 90.60 % 0.0117 390 110 0
[object Object],Algorithms Max Mean Var. Accur. [0.55, 1] Accur. [0.50, 0.55) Accur. [0, 0.50) ABC 55.14 % 52.29 % 0.0133 1 493 6 SOM 62.15 % 48.70 % 0.0323 10 157 342 ABC + SOM 56.07 % 52.31 % 0.0305 95 286 119
Figure 2.  (a) An original image, (b), (c) and (d)   results of applying ABC, SOM, and the SOM+ABC algorithm, respectively. (a) An original image  (b) ABC   (c) SOM  (d) ABC + SOM
[object Object],[object Object]
[object Object],[object Object]
 

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Combining Self-Organizing Maps and Artificial Bee Colony Algorithm for Image Classification

  • 1. C. C. Hung, H. Ijaz, E. Jung, and B.-C. Kuo # School of Computing and Software Engineering Southern Polytechnic State University, Marietta, Georgia USA # Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung, Taiwan, R. O. C.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Figure 1: Each X i represents one component of the pixel vector for multispectral bands. L denotes the number of bands used. Each neuron in the output layer corresponds to one spectral class where its spectral means are stored in the connection between the inputs and the output neurons.
  • 7. Figure 2: SOM Neural Network
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. Figure 2. (a) An original image, (b), (c) and (d) results of applying ABC, SOM, and the SOM+ABC algorithm, respectively. (a) An original image (b) ABC (c) SOM (d) ABC + SOM
  • 28.
  • 29.
  • 30.