| 2008 |
|---|
| 35 | EE | Roelof K. Brouwer:
Clustering Quality Measures Based on Comparing the Proximity Matrices for the Membership Vectors and the Objects.
IJPRAI 22(8): 1513-1538 (2008) |
| 34 | EE | Roelof K. Brouwer:
Fuzzy Clustering of Feature Vectors with Some Ordinal Valued Attributes Using Gradient Descent for Learning.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(2): 195-218 (2008) |
| 2007 |
|---|
| 33 | EE | Mahnhoon Lee,
Roelof K. Brouwer:
Fuzzy Clustering and Mapping of Ordinal Values to Numerical.
FOCI 2007: 538-543 |
| 32 | EE | Mahnhoon Lee,
Roelof K. Brouwer:
Likelihood Based Fuzzy Clustering for Data Sets of Mixed Features.
FOCI 2007: 544-549 |
| 31 | EE | Roelof K. Brouwer,
Albert A. Groenwold:
A Method of Proximity Matrix Based Fuzzy Clustering.
FSKD (2) 2007: 91-97 |
| 30 | | Roelof K. Brouwer:
A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors.
IICAI 2007: 278-291 |
| 29 | EE | Roelof K. Brouwer:
A method for fuzzy clustering with ordinal attributes.
Int. J. Intell. Syst. 22(6): 599-620 (2007) |
| 2006 |
|---|
| 28 | EE | Roelof K. Brouwer:
Fuzzy set covering of a set of ordinal attributes without parameter sharing.
Fuzzy Sets and Systems 157(13): 1775-1786 (2006) |
| 2005 |
|---|
| 27 | EE | Roelof K. Brouwer:
Fuzzy Rule Extraction from a Feed Forward Neural Network by Training a Representative Fuzzy Neural Network Using Gradient Descent.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13(6): 673-698 (2005) |
| 26 | EE | Roelof K. Brouwer:
Training of a discrete recurrent neural network for sequence classification by using a helper FNN.
Soft Comput. 9(10): 749-756 (2005) |
| 25 | EE | Roelof K. Brouwer:
Automatic training of a min-max neural network for function approximation by using a second feed forward network.
Soft Comput. 9(5): 393-397 (2005) |
| 2004 |
|---|
| 24 | EE | Roelof K. Brouwer:
A hybrid neural network for input that is both categorical and quantitative.
Int. J. Intell. Syst. 19(10): 979-1001 (2004) |
| 23 | EE | Roelof K. Brouwer:
Feed-forward neural network for one-to-many mappings using fuzzy sets.
Neurocomputing 57: 345-360 (2004) |
| 2003 |
|---|
| 22 | | Roelof K. Brouwer,
Witold Pedrycz:
A Feed Forward Network and Its Training Algorithm for Producing Sets.
Neural Networks and Computational Intelligence 2003: 112-117 |
| 21 | EE | Roelof K. Brouwer,
Witold Pedrycz:
Training a feed-forward network with incomplete data due to missing input variables.
Appl. Soft Comput. 3(1): 23-36 (2003) |
| 20 | EE | Roelof K. Brouwer:
A Solution Method for Truncated Normalized Max Product Fuzzy Set of Equations.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(3): 361-372 (2003) |
| 19 | EE | Roelof K. Brouwer,
Witold Pedrycz:
Set oriented mappings on neural networks.
Soft Comput. 8(1): 28-37 (2003) |
| 2002 |
|---|
| 18 | | Roelof K. Brouwer:
Storing many-to-many mappings on a feed-forward neural network using fuzzy sets.
ESANN 2002: 13-18 |
| 17 | | Roelof K. Brouwer:
Using a Helper FFN to Represent the Cost Function for Training DRNN's by Gradient Descent.
HIS 2002: 707-714 |
| 16 | EE | Roelof K. Brouwer:
A Discrete Fully Recurrent Network of Sigmoid Units for Associative Memory and Pattern Classification.
IJPRAI 16(5): 527-550 (2002) |
| 15 | EE | Roelof K. Brouwer:
A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification.
Int. J. Neural Syst. 12(3-4): 247-262 (2002) |
| 14 | EE | Roelof K. Brouwer:
A feed-forward network for input that is both categorical and quantitative.
Neural Networks 15(7): 881-890 (2002) |
| 2001 |
|---|
| 13 | EE | Roelof K. Brouwer,
Witold Pedrycz:
One-to-many mappings represented on feed-forward networks.
ESANN 2001: 365-370 |
| 12 | EE | Roelof K. Brouwer:
A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors.
Int. J. Neural Syst. 11(3): 271-279 (2001) |
| 2000 |
|---|
| 11 | EE | Roelof K. Brouwer:
A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors.
SBRN 2000: 208-212 |
| 10 | EE | Roelof K. Brouwer:
An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors.
IJPRAI 14(3): 339-355 (2000) |
| 9 | EE | Roelof K. Brouwer:
A Fuzzy Recurrent Artificial Neural Network (FRANN) for Pattern Classification.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8(5): 525-538 (2000) |
| 1999 |
|---|
| 8 | EE | Roelof K. Brouwer:
An integer recurrent artificial neural network for classifying feature vectors.
ESANN 1999: 307-312 |
| 7 | EE | Roelof K. Brouwer:
The Backpropagation Algorithm in J, a Fast Prototyping Tool for Researching Neural Networks.
Int. J. Neural Syst. 9(4): 273-284 (1999) |
| 6 | EE | Roelof K. Brouwer:
Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification.
Int. J. Neural Syst. 9(4): 335-350 (1999) |
| 5 | | Roelof K. Brouwer:
A Fuzzy Neuron with Binary Input and its Training Algorithm.
Neural Processing Letters 9(1): 25-33 (1999) |
| 1997 |
|---|
| 4 | EE | Roelof K. Brouwer:
Automatic Growing of a Hopfield Style Network During Training for Classification.
Neural Networks 10(3): 529-537 (1997) |
| 3 | | Roelof K. Brouwer:
Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network.
Neural Processing Letters 5(1): 1-7 (1997) |
| 2 | EE | Roelof K. Brouwer:
Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors.
Neurocomputing 16(2): 117-126 (1997) |
| 1995 |
|---|
| 1 | EE | Roelof K. Brouwer:
A method for training recurrent neural networks for classification by building basins of attraction.
Neural Networks 8(4): 597-603 (1995) |
