| Reference: | [1] K. Fukushima, "Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position", BioI Cybern., Vo1.36, pp .193-202,Apr. 1980.
[2] Y. LeCun, B. Boser, "Backpropagation Applied to Handwritten Zip Code Recognition", Neural Computation, 1, pp.541-551, 1989.
[3] H.Y. Liao, IS. Huang, and S.T. Huang, "Two-Dimentional Neural Networks for Handwritten Chinese Character Recognition", 1992 IEEE IJCNN illS79-S84.
[4] A. Rajavelu, M.T. Musavi, and M.V. Shirvaikar, "A Neural Network Approach to Character Recognition", Neural Networks, Vol 2, pp.387-393 1989.
[5] K. Fukushima, S. Miyake, T. Ito, "Neocognitron: A Neural Network Model for a Mechanism of Visual Pattern Recognition", IEEE Trans. on System, Man, and Cybernetics, Vol. SMC-13,No.S, Sep/Oct 1983. pp.826-834.
[6] K. Fukushima, "Neocognitron: A Hierarchical Neural Network Capable of Visual Pattem Recognition", Neural Networks, Vol.1, pp.1l9-130, 1988.
[7] K. Fukushima, N. Wake, "Handwdtten Alphanumeric Character Recognition by the
Neocognitron", IEEE Trans. Oll Neural Networks, Vol.2, No.3, May 1991, pp.35S-36S.
[8] K. Fukushima, Sei Miyake, "Neocognitron: A New Algorithm For Pattern Recognition Tolerant of Deformation and Shifts In Position", Pattem Recognition, Vol.lS, No.6, pp. 4SS-469,1982.
[9] K. Fukushima, N. Wake, "Improved Neocognitroll with Bend-Detecting Cells", Proc. IEEE IJCNN, Vol.4, pp.190-19S, 1992.
[10] K. Fukushima, "Analysis of the Process of Visual Pattem Recognition by the Neocognitron",Neural Networks, Vol. 2, pp.413-420, 1989.
[11] MuraU M. Menon,Karl G. Heinemann, "Classification of Patterns Using a Self-Organizing Neural Network.", Neural Networks, Vol I, pp.201-21S, 1988.
[12] Glenn S. Himes and Rafael M. Inigo, "Automatic Target Recognition Using a Neocognitron",IEEE Trans. on Knowledge and Data Engineering, Vol.4, No.2, April 1992.
[13] James A. Freeman, "Neural Networks, Algorit~ Applications, and Program.rrring Techniquesll,Addison-Wesley Publishing Company, July 1992.
[14] Hubel, D.H.,Wiesel, T.N.,”Receptive fields, binocular interaction and functional architecture in cat`s visual cortexll, 1. Physiol. 160, pp.l06-1S4, 1962.
[IS] Hubel, D.H.,Wiesel, T.N.,"Receptive fields and functional architecture in two nonstriate visual area (18 and 19) of the catll, 1. Neurophysiol. 28,229-289, 1965.
[16] Eun Jin Kim, "Handwritten Hangul Recognition Using a Modified Neocognitron", Neural Networks, Vol 4, pp.743-7S0, 1991.
[17] S. Yamaguchi, H. Itakura, "A Car Detection System Using the Neocognitron", Proc. IEEE IJCNN, Vol.2, pp.1208-1213, 1991.
[18] S.D. Wang, C.C. Pan, "A Neural Network Approach for Chinese Character Recognition", Proc.IEEE IJCNN, Vol.1, pp.416-419, 1990.
[19] F.G. Shieh, “Studies of the Recognition of the Printed Chinese Character Using the
NeocognitfOn model with the Changjei Codes", Master thesis of Computer and Information Engineering, Tatung Institute of Engineering, July 1993. |
