| 2007 |
|---|
| 11 | EE | Ulrich Rückert,
Ralf Eickhoff:
Controlling complexity of RBF networks by similarity.
ESANN 2007: 181-186 |
| 10 | EE | Ralf Eickhoff,
Tim Kaulmann,
Ulrich Rückert:
Impact of Shrinking Technologies on the Activation Function of Neurons.
ICANN (1) 2007: 501-510 |
| 9 | EE | Ralf Eickhoff,
Joaquin Sitte:
Significance measure of Local Cluster Neural Networks.
IJCNN 2007: 172-177 |
| 8 | EE | Ralf Eickhoff,
Tim Kaulmann,
Ulrich Rückert:
Neural Inspired Architectures for Nanoelectronics.
IWANN 2007: 414-421 |
| 7 | EE | Ralf Eickhoff,
Ulrich Rückert:
Robustness of radial basis functions.
Neurocomputing 70(16-18): 2758-2767 (2007) |
| 2006 |
|---|
| 6 | EE | Ralf Eickhoff,
Joaquin Sitte,
Ulrich Rückert:
Robust Local Cluster Neural Networks.
ESANN 2006: 119-124 |
| 5 | EE | Ralf Eickhoff,
Ulrich Rückert:
Pareto-optimal Noise and Approximation Properties of RBF Networks.
ICANN (1) 2006: 993-1002 |
| 4 | EE | Ralf Eickhoff,
Tim Kaulmann,
Ulrich Rückert:
SIRENS: A Simple Reconfigurable Neural Hardware Structure for artificial neural network implementations.
IJCNN 2006: 2830-2837 |
| 3 | EE | Ralf Eickhoff,
Ulrich Rückert:
Enhancing Fault Tolerance of Radial Basis Functions.
IJCNN 2006: 5066-5073 |
| 2005 |
|---|
| 2 | EE | Ralf Eickhoff,
Ulrich Rückert:
Tolerance of Radial Basis Functions Against Stuck-At-Faults.
ICANN (2) 2005: 1003-1008 |
| 1 | EE | Ralf Eickhoff,
Ulrich Rückert:
Robustness of Radial Basis Functions.
IWANN 2005: 264-271 |
