메뉴 건너뛰기




Volumn E82-A, Issue 9, 1999, Pages 1845-1850

Fractal neural network feature selector for automatic pattern recognition system

Author keywords

Artificial neural network; Automatic pattern recognition; Feature selection; Fractal dimension; Fractal neural network

Indexed keywords

FEATURE SELECTION; FRACTAL NEURAL NETWORKS;

EID: 0033184717     PISSN: 09168508     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (10)
  • 1
  • 2
    • 0003727602 scopus 로고
    • Ph.D. Dissertation Prospectus, School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB OH
    • G. Tarr, "Multi-layered feedforward neural networks for image segmentation," Ph.D. Dissertation Prospectus, School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB OH, 1991.
    • (1991) Multi-layered Feedforward Neural Networks for Image Segmentation
    • Tarr, G.1
  • 3
    • 0029256585 scopus 로고
    • Determining input features for multilayer perceptrons
    • March
    • L.M. Belue and K.W. Bauer, "Determining input features for multilayer perceptrons," Neurocomputing, vol.7, no.2, pp.111-121, March 1995.
    • (1995) Neurocomputing , vol.7 , Issue.2 , pp. 111-121
    • Belue, L.M.1    Bauer, K.W.2
  • 4
    • 0031140388 scopus 로고    scopus 로고
    • Neural-network feature selector
    • May
    • R. Setiono and H. Liu, "Neural-network feature selector," IEEE Trans. Neural Network, vol.8, no.3, pp.654-662, May 1997.
    • (1997) IEEE Trans. Neural Network , vol.8 , Issue.3 , pp. 654-662
    • Setiono, R.1    Liu, H.2
  • 5
    • 0031247885 scopus 로고    scopus 로고
    • Layered fractal neural net: Computational performance as a classifier
    • Oct.
    • B. Chakraborty, Y. Sawada, and G. Chakraborty, "Layered fractal neural net: Computational performance as a classifier," Knowledge-Based Systems, vol.10, no.3, pp.177-182, Oct. 1997.
    • (1997) Knowledge-based Systems , vol.10 , Issue.3 , pp. 177-182
    • Chakraborty, B.1    Sawada, Y.2    Chakraborty, G.3
  • 6
    • 0030264615 scopus 로고    scopus 로고
    • Fractal connection structure: A simple way to improve Generalization in nonlinear learning systems
    • Oct.
    • B. Chakraborty and Y. Sawada, "Fractal connection structure: A simple way to improve Generalization in nonlinear learning systems," IEICE Trans. Fundamentals, vol.E79-A, no.10, pp.1618-1623, Oct. 1996.
    • (1996) IEICE Trans. Fundamentals , vol.E79-A , Issue.10 , pp. 1618-1623
    • Chakraborty, B.1    Sawada, Y.2
  • 9
    • 0023843391 scopus 로고
    • Analysis of Hidden units in a layered network trained to classify sonar targets
    • P.R. Gorman and T.J. Sejnowski, "Analysis of Hidden units in a layered network trained to classify sonar targets," Neural Networks, vol.1, pp.75-89, 1988.
    • (1988) Neural Networks , vol.1 , pp. 75-89
    • Gorman, P.R.1    Sejnowski, T.J.2
  • 10
    • 0024053288 scopus 로고
    • Learned classification of sonar targets using a massively-parallel network
    • P.R. Gorman and T.J. Sejnowski, "Learned classification of sonar targets using a massively-parallel network," IEEE Trans. Acoust., Speech & Signal Process., vol.36, no.7, pp.1135-1140, 1988.
    • (1988) IEEE Trans. Acoust., Speech & Signal Process. , vol.36 , Issue.7 , pp. 1135-1140
    • Gorman, P.R.1    Sejnowski, T.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.