Abstract
Recently the morphological associative memory proposed by Ritter attracts researcher’s attention. The model is superior to other models in terms of memory capacity and perfect recall rate. However the conventional MAM has a problem that the correct pattern cannot be recalled if a pattern has inclusive relation to other stored pattern. In this paper, as one of the solutions, an effective MAM employing a reverse recall is proposed. In the proposed method, candidate patterns of an input can be estimated by reverse recall from the kernel image recalled by a given inclusion input pattern, and then the plausible recall pattern can be determined by comparing the candidates with input pattern. We confirm the validity of the proposed method through hetero association experiments for twenty six alphabet patterns with inclusion patterns.
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References
Ackley, D.H., Hinton, G.E., Sejnowski, T.J.: A learning algorithm for Boltzmann machines. Cognitive Science 9, 147–169 (1985)
Kosko, B.: Bidirectional Associative Memories. IEEE Trans. Systems, Man and Cybernetics 8(1), 46–60 (1988)
Hagiwara, M.: Multidirectional associative memory. In: International Joint Conference on Neural Networks, vol. I, pp. 3–6 (1990)
Hopfield, J.J.: Neural network and physical systems with emergent collective computational abilities. Proc. Of the National Academy of Sciences of the United States of America 79(8), 2554–2558 (1982)
Ritter, G.X., Sussner, P., Diaz-de-Leon, J.L.: Morphological associative memory. IEEE Trans. Neural Networks 9(2), 281–293 (1998)
Hattori, M., Fukui, A., Ito, H.: A fast method to decide kernel patterns for Morphological Associative memory. Transactions of the Institute of Electrical Engineers of Japan. C 123(10), 1830–1838 (2003)
Ida, T., Ueda, S., Kashima, M., Fuchida, T., Murashima, S.: On a method to decide kernel patterns of morphological associative memory. D-II J83-D-II(5), 1372–1380 (2000)
Saeki, T., Miki, T.: Improvement of the Perfect Recall of Block Splitting Type Morphological Associative Memory Using a Majority Logic Approach. In: King, I., Wang, J., Chan, L.-W., Wang, D. (eds.) ICONIP 2006. LNCS, vol. 4232, pp. 352–360. Springer, Heidelberg (2006)
Harada, H., Miki, T.: A Morphological Associative Memory Employing A Stored Pattern Independent Kernel Image and Its Hardware Model. In: IWCIA 2009, pp. 219–224 (2009)
Ritter, G.X., Diaz-de-Leon, J.L., Sussner, P.: Morphological bidirectional associative memories. Neural Networks 12, 851–867 (1999)
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Harada, H., Miki, T. (2010). A Morphological Associative Memory Employing a Reverse Recall. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds) Neural Information Processing. Models and Applications. ICONIP 2010. Lecture Notes in Computer Science, vol 6444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17534-3_39
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DOI: https://doi.org/10.1007/978-3-642-17534-3_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17533-6
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