gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps

Lachmair J, Merenyi E, Porrmann M, Rückert U (2012)
In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 645-650.

Conference Paper | Published | English

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Publishing Year
Conference
ESANN 2012
Location
Bruges, Belgium
Conference Date
2012-04-25 – 2012-04-27
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Lachmair J, Merenyi E, Porrmann M, Rückert U. gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 2012: 645-650.
Lachmair, J., Merenyi, E., Porrmann, M., & Rückert, U. (2012). gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 645-650.
Lachmair, J., Merenyi, E., Porrmann, M., and Rückert, U. (2012). “gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps” in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 645-650.
Lachmair, J., et al., 2012. gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. pp. 645-650.
J. Lachmair, et al., “gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps”, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2012, pp.645-650.
Lachmair, J., Merenyi, E., Porrmann, M., Rückert, U.: gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 645-650. (2012).
Lachmair, Jan, Merenyi, E., Porrmann, Mario, and Rückert, Ulrich. “gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps”. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 2012. 645-650.
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