Training data selection method for generalization by multilayer neural networks

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Volumn E81-A, Issue 3, 1998, Pages 374-381

  Hara, Kazuyuki ^a   Nakayama, Kenji ^b  

^a Gunma Polytechnic College   (Japan)

^b KANAZAWA UNIVERSITY   (Japan)

Author keywords

Generalization performance; Multilayer neural networks; Training data selection

Indexed keywords

COMPUTER SIMULATION; DATA ACQUISITION; DATA REDUCTION; ERROR ANALYSIS; LEARNING SYSTEMS; ONLINE SYSTEMS; PATTERN RECOGNITION; RANDOM PROCESSES;

TRAINING DATA SELECTION METHODS;

NEURAL NETWORKS;

EID: 0032027436     PISSN: 09168508     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. D.E. Rumelhart and J.L. McCelland, et al., "Parallel Distributed Processing," the MIT Press, 1986.
2. R. Vanderbeek and A. Garper, "A back-propagation network for analog signal separation in high environment," Proc. IJCNN'92, Boltimore MD, pp.664-669, 1992.
3. Z.H. Michalopoulou, L-.W. Nolle, and D. Alexandrou, "Performance evaluation of multilayer perceptrons in signal detection and classification," IEEE Trans. Neural Network, vol.6, no.2, pp.381-386, 1995.
4. G. Veciana and A. Zakhor, "Neural net-base continuous phase modulation receivers," IEEE Trans. Commun., vol.40, no.8, 1992.
5. K. Hara and K. Nakayama, "Multi-frequency signal classification by multilayer neural network and linear signal processing methods," IEICE Trans. Fundamentals., vol.E80-A, no.5, pp.894-902, May 1997.
6. R. Battiti, "Using mutual information for selecting features in supervised neural net learning," IEEE Trans. Neural Networks, vol.5, no.4, pp.537-550, July 1994.
7. M. Hagiwara, "Back-propagation with artificial selection-Reduction of the number of learning times and that of hidden units," IEICE Trans., vol.J74-D-II, no.6, pp.812-818, June 1991.
8. N. Nakayama and Y. Kimura, "Optimization of activation functions in multilayer neural network," Proc. ICNN'94, Orland, Florida pp.431-436, June 1994.
9. T. Ueda, K. Takahashi, and S. Mori, "A structural learning for multi-layered neural networks by using fuzzy setA pruning weights and units," IEICE Trans. vol.J78-D-II, no.10, pp.1479-1490, 1995.
10. K. Fukumizu and S. Watanabe, "Error estimation and learning data arrangement for neural networks," Proc. ICNN'94, Orland, Florida, pp.777-780, 1994.
11. C. Cachin, "Pedagogical pattern selection strategies," Neural Networks, vol.7, no.1, pp. 175-181, 1994.
12. Qi Li and D.W. Tufts, "Principal feature classification," IEEE Trans. Neural Networks, vol.8, no.1, pp.155-160, 1997.
13. S. Haykin, "Neural Networks - A comprehensive foundation," pp.57-59, Macmillan College Publishing Company, 1994.
14. K. Hara and K. Nakayama, "Comparison of activation functions in multilayer neural network for pattern classification," Proc. ICNN'94, Orland, Florida, pp.2997-3002, 1994.
15. Y. Mori, "Hand-written KANJI character recognition by a PDF model," IEICE Trans., vol.J73-D-II, no.8, pp.1268-1274, 1990.
16. K. Hara and K. Nakayama, "Selection of minimum training data for generalization and on-line training by multilayer neural networks," Proc. ICNN'96, Washington D.C., pp.436-441, July 1996.