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Volumn 4668 LNCS, Issue PART 1, 2007, Pages 279-288

Improved SOM learning using simulated annealing

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; LARGE DATASET; SELF ORGANIZING MAPS; SIMULATED ANNEALING;

EID: 38149058362     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74690-4_29     Document Type: Conference Paper
Times cited : (12)

References (18)
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  • 2
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    • Adding a conscience to copetitive learning
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  • 3
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    • The parameterless self-organizing map algorithm
    • Berglund, E., Sitte, J.: The parameterless self-organizing map algorithm. IEEE Transactions on neural networks 17(2), 305-316 (2006)
    • (2006) IEEE Transactions on neural networks , vol.17 , Issue.2 , pp. 305-316
    • Berglund, E.1    Sitte, J.2
  • 4
    • 0035286374 scopus 로고    scopus 로고
    • Auto-SOM: Recursive parameter estimation for guidance of self-organizing feature maps
    • Haese, K.: Auto-SOM: recursive parameter estimation for guidance of self-organizing feature maps. Neural Comput. 13(3), 595-619 (2001)
    • (2001) Neural Comput , vol.13 , Issue.3 , pp. 595-619
    • Haese, K.1
  • 5
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    • Optimization by Simulated Annealing
    • Kirkpatrick, S., Gelatt, C., Vecchi, M.: Optimization by Simulated Annealing. Science 220(4598), 671-680 (1983)
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
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  • 7
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    • Self-organizing maps: Generalizations and new optimization techniques
    • Graepel, T., Burger, M., Obermayer, K.: Self-organizing maps: generalizations and new optimization techniques. Neurocomputing 21, 173-190 (1998)
    • (1998) Neurocomputing , vol.21 , pp. 173-190
    • Graepel, T.1    Burger, M.2    Obermayer, K.3
  • 9
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    • Kalman filter implementation of self-organizing feature maps
    • Haese, K.: Kalman filter implementation of self-organizing feature maps. Neural Comput. 11(5), 1211-1233 (1999)
    • (1999) Neural Comput , vol.11 , Issue.5 , pp. 1211-1233
    • Haese, K.1
  • 10
    • 0032207165 scopus 로고    scopus 로고
    • Self-organizing feature map with self-adjusting learning parameters
    • Haese, K.: Self-organizing feature map with self-adjusting learning parameters. IEEE Transactions on Neural Network 9(6), 1270-1278 (1998)
    • (1998) IEEE Transactions on Neural Network , vol.9 , Issue.6 , pp. 1270-1278
    • Haese, K.1
  • 11
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    • The parameter-less SOM algorithm
    • Berglund, E., Sitte, J.: The parameter-less SOM algorithm. In: Proc. ANZIIS, pp. 159-164 (2003)
    • (2003) Proc. ANZIIS , pp. 159-164
    • Berglund, E.1    Sitte, J.2
  • 14
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    • Ingber, L.: Very fast simulated re-annealing. Journal of Mathl. Comput. Modelling 12(8), 967-973 (1989)
    • Ingber, L.: Very fast simulated re-annealing. Journal of Mathl. Comput. Modelling 12(8), 967-973 (1989)
  • 15
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    • Adaptive simulated annealing (ASA): Lessons learned
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.