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Volumn 258, Issue , 2009, Pages 25-48

Efficient constructive techniques for training switching neural networks

Author keywords

Constructive method; Positive Boolean function synthesis; Statlog benchmark; Switch Programming; Switching Neural Network

Indexed keywords


EID: 74049141299     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-04512-7_2     Document Type: Conference Paper
Times cited : (6)

References (18)
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    • Ferrari, E.,Muselli,M.: A constructive technique based on linear programming for training switching neural networks. In: K°urkov́a, V., Neruda, R., Koutńik, J. (eds.) ICANN 2008, Part II. LNCS, vol.5164, pp. 744-753. Springer, Heidelberg (2008)
    • (2008) LNCS , vol.5164 , pp. 744-753
    • Ferrari, E.1    Muselli, M.2
  • 4
    • 0031219871 scopus 로고    scopus 로고
    • R-MINI: An iterative approach for generating minimal rules from examples
    • Hong, S.J.: R-MINI: An iterative approach for generating minimal rules from examples. IEEE Trans. Knowledge and Data Eng. 9, 709-717 (1997)
    • (1997) IEEE Trans. Knowledge and Data Eng. , vol.9 , pp. 709-717
    • Hong, S.J.1
  • 5
    • 0026995495 scopus 로고
    • ChiMerge: Discretization of numeric attributes
    • Kerber, R.: ChiMerge: Discretization of numeric attributes. In: Proc. 9th Int'l. Conf. on Art. Intell., pp. 123-128 (1992)
    • (1992) Proc. 9th int'L. Conf. on Art. Intell. , pp. 123-128
    • Kerber, R.1
  • 11
    • 33745791535 scopus 로고    scopus 로고
    • Approximation properties of positive boolean functions
    • Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.), WIRN 2005 and NAIS 2005. Springer, Heidelberg
    • Muselli, M.: Approximation properties of positive boolean functions. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.) WIRN 2005 and NAIS 2005. LNCS, vol.3931, pp. 18-22. Springer, Heidelberg (2006)
    • (2006) LNCS , vol.3931 , pp. 18-22
    • Muselli, M.1
  • 12
    • 33745773915 scopus 로고    scopus 로고
    • Switching neural networks: A new connectionist model for classification
    • Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.), WIRN/NAIS 2005. Springer, Heidelberg
    • Muselli, M.: Switching neural networks: A new connectionist model for classification. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.) WIRN/NAIS 2005. LNCS, vol.3931, pp. 23-30. Springer, Heidelberg (2006)
    • (2006) LNCS , vol.3931 , pp. 23-30
    • Muselli, M.1
  • 16
    • 0027662338 scopus 로고
    • Pruning algorithm-A survey
    • Reed, R.: Pruning Algorithm-A Survey. IEEE Trans. on Neural Netw. 4, 740-747 (1993)
    • (1993) IEEE Trans. on Neural Netw , vol.4 , pp. 740-747
    • Reed, R.1
  • 17
    • 0022471098 scopus 로고
    • Learning representations by backpropagating errors
    • Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by backpropagating errors. Nature 323, 533-536 (1988)
    • (1988) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.