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Burkhard Lenze

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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affiliation: Fachhochschule Dortmund, Dortmund, Germany

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2004
[j12]
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Burkhard Lenze:
Note on interpolation on the hypercube by means of sigma-pi neural networks. Neurocomputing 61: 471-478 (2004)
2003
[j11]
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Burkhard Lenze:
A Backpropagation and Initialization Routine for Hyperbolic Sigma-Pi Neural Networks. Neural Parallel Sci. Comput. 11(4): 369-376 (2003)
2002
[j10]
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Burkhard Lenze, Jörg Raddatz:
Effects of Dilation and Translation on a Perceptron-Type Learning Rule for Higher Order Hopfield Neural Networks. Int. J. Neural Syst. 12(2): 83-93 (2002)
[j9]
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Burkhard Lenze:
On a perceptron-type learning rule for higher order Hopfield neural networks including dilation and translation. Neurocomputing 48(1-4): 391-401 (2002)
2001
[j8]
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Burkhard Lenze:
Improving Leung's bidirectional learning rule for associative memories. IEEE Trans. Neural Networks 12(5): 1222-1226 (2001)
2000
[j7]
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Burkhard Lenze:
Hyperbolic sigma-pi neural network operators applied to image processing and reconstruction. Neural Parallel Sci. Comput. 8(3-4): 393-400 (2000)
1998
[j6]
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Burkhard Lenze:
Linking Discrete Orthogonality with Dilation and Translation for Incomplete Sigma-pi Neural Networks of Hopfield-type. Discret. Appl. Math. 89(1-3): 169-180 (1998)
[j5]
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Burkhard Lenze:
Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation. Neural Networks 11(6): 1041-1048 (1998)
1996
[j4]
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Burkhard Lenze:
Hyperbolic sigma-pi neural network operators for compactly supported continuous functions. Adv. Comput. Math. 5(1): 163-172 (1996)
[j3]
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Burkhard Lenze:
Dilation and Translation for Incomplete Sigma-Pi Neural Networks of Hopfield-Type - A Case Study. Int. J. Neural Syst. 7(6): 689-696 (1996)
1994
[j2]
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Burkhard Lenze:
On local and global sigma-pi neural networks a common link. Adv. Comput. Math. 2(4): 479-491 (1994)
[j1]
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Burkhard Lenze:
How to make sigma-pi neural networks perform perfectly on regular training sets. Neural Networks 7(8): 1285-1293 (1994)

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