| 2004 |
|---|
| 9 | EE | Burkhard Lenze:
Note on interpolation on the hypercube by means of sigma-pi neural networks.
Neurocomputing 61: 471-478 (2004) |
| 2002 |
|---|
| 8 | EE | 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) |
| 7 | EE | 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) |
| 1998 |
|---|
| 6 | EE | Burkhard Lenze:
Linking Discrete Orthogonality with Dilation and Translation for Incomplete Sigma-pi Neural Networks of Hopfield-type.
Discrete Applied Mathematics 89(1-3): 169-180 (1998) |
| 5 | EE | Burkhard Lenze:
Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation.
Neural Networks 11(6): 1041-1048 (1998) |
| 1996 |
|---|
| 4 | EE | Burkhard Lenze:
Hyperbolic sigma-pi neural network operators for compactly supported continuous functions.
Adv. Comput. Math. 5(1): 163-172 (1996) |
| 3 | EE | 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 |
|---|
| 2 | EE | Burkhard Lenze:
On local and global sigma-pi neural networks a common link.
Adv. Comput. Math. 2(4): 479-491 (1994) |
| 1 | EE | Burkhard Lenze:
How to make sigma-pi neural networks perform perfectly on regular training sets.
Neural Networks 7(8): 1285-1293 (1994) |
