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## Search the dblp DataBase
Roelof K. Brouwer:
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## Publications of Author- Roelof K. Brouwer
**Storing many-to-many mappings on a feed-forward neural network using fuzzy sets.**[Citation Graph (0, 0)][DBLP] ESANN, 2002, pp:13-18 [Conf] - Roelof K. Brouwer
**An integer recurrent artificial neural network for classifying feature vectors.**[Citation Graph (0, 0)][DBLP] ESANN, 1999, pp:307-312 [Conf] - Roelof K. Brouwer, Witold Pedrycz
**One-to-many mappings represented on feed-forward networks.**[Citation Graph (0, 0)][DBLP] ESANN, 2001, pp:365-370 [Conf] - Roelof K. Brouwer
**Using a Helper FFN to Represent the Cost Function for Training DRNN's by Gradient Descent.**[Citation Graph (0, 0)][DBLP] HIS, 2002, pp:707-714 [Conf] - Roelof K. Brouwer, Witold Pedrycz
**A Feed Forward Network and Its Training Algorithm for Producing Sets.**[Citation Graph (0, 0)][DBLP] Neural Networks and Computational Intelligence, 2003, pp:112-117 [Conf] - Roelof K. Brouwer
**A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors.**[Citation Graph (0, 0)][DBLP] SBRN, 2000, pp:208-212 [Conf] - Roelof K. Brouwer, Witold Pedrycz
**Training a feed-forward network with incomplete data due to missing input variables.**[Citation Graph (0, 0)][DBLP] Appl. Soft Comput., 2003, v:3, n:1, pp:23-36 [Journal] - Roelof K. Brouwer
**Fuzzy set covering of a set of ordinal attributes without parameter sharing.**[Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2006, v:157, n:13, pp:1775-1786 [Journal] - Roelof K. Brouwer
**A hybrid neural network for input that is both categorical and quantitative.**[Citation Graph (0, 0)][DBLP] Int. J. Intell. Syst., 2004, v:19, n:10, pp:979-1001 [Journal] - Roelof K. Brouwer
**The Backpropagation Algorithm in J, a Fast Prototyping Tool for Researching Neural Networks.**[Citation Graph (0, 0)][DBLP] Int. J. Neural Syst., 1999, v:9, n:4, pp:273-284 [Journal] - Roelof K. Brouwer
**Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification.**[Citation Graph (0, 0)][DBLP] Int. J. Neural Syst., 1999, v:9, n:4, pp:335-350 [Journal] - Roelof K. Brouwer
**A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification.**[Citation Graph (0, 0)][DBLP] Int. J. Neural Syst., 2002, v:12, n:3-4, pp:247-262 [Journal] - Roelof K. Brouwer
**A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors.**[Citation Graph (0, 0)][DBLP] Int. J. Neural Syst., 2001, v:11, n:3, pp:271-279 [Journal] - Roelof K. Brouwer
**Feed-forward neural network for one-to-many mappings using fuzzy sets.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2004, v:57, n:, pp:345-360 [Journal] - Roelof K. Brouwer
**Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 1997, v:16, n:2, pp:117-126 [Journal] - Roelof K. Brouwer
**An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors.**[Citation Graph (0, 0)][DBLP] IJPRAI, 2000, v:14, n:3, pp:339-355 [Journal] - Roelof K. Brouwer
**A Discrete Fully Recurrent Network of Sigmoid Units for Associative Memory and Pattern Classification.**[Citation Graph (0, 0)][DBLP] IJPRAI, 2002, v:16, n:5, pp:527-550 [Journal] - Roelof K. Brouwer
**A Fuzzy Recurrent Artificial Neural Network (FRANN) for Pattern Classification.**[Citation Graph (0, 0)][DBLP] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, v:8, n:5, pp:525-538 [Journal] - Roelof K. Brouwer
**A Solution Method for Truncated Normalized Max Product Fuzzy Set of Equations.**[Citation Graph (0, 0)][DBLP] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003, v:11, n:3, pp:361-372 [Journal] - Roelof K. Brouwer
**Fuzzy Rule Extraction from a Feed Forward Neural Network by Training a Representative Fuzzy Neural Network Using Gradient Descent.**[Citation Graph (0, 0)][DBLP] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2005, v:13, n:6, pp:673-698 [Journal] - Roelof K. Brouwer
**A feed-forward network for input that is both categorical and quantitative.**[Citation Graph (0, 0)][DBLP] Neural Networks, 2002, v:15, n:7, pp:881-890 [Journal] - Roelof K. Brouwer
**A method for training recurrent neural networks for classification by building basins of attraction.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1995, v:8, n:4, pp:597-603 [Journal] - Roelof K. Brouwer
**Automatic Growing of a Hopfield Style Network During Training for Classification.**[Citation Graph (0, 0)][DBLP] Neural Networks, 1997, v:10, n:3, pp:529-537 [Journal] - Roelof K. Brouwer
**Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network.**[Citation Graph (0, 0)][DBLP] Neural Processing Letters, 1997, v:5, n:1, pp:1-7 [Journal] - Roelof K. Brouwer
**A Fuzzy Neuron with Binary Input and its Training Algorithm.**[Citation Graph (0, 0)][DBLP] Neural Processing Letters, 1999, v:9, n:1, pp:25-33 [Journal] - Roelof K. Brouwer
**Training of a discrete recurrent neural network for sequence classification by using a helper FNN.**[Citation Graph (0, 0)][DBLP] Soft Comput., 2005, v:9, n:10, pp:749-756 [Journal] - Roelof K. Brouwer
**Automatic training of a min-max neural network for function approximation by using a second feed forward network.**[Citation Graph (0, 0)][DBLP] Soft Comput., 2005, v:9, n:5, pp:393-397 [Journal] - Roelof K. Brouwer, Witold Pedrycz
**Set oriented mappings on neural networks.**[Citation Graph (0, 0)][DBLP] Soft Comput., 2003, v:8, n:1, pp:28-37 [Journal] - Mahnhoon Lee, Roelof K. Brouwer
**Fuzzy Clustering and Mapping of Ordinal Values to Numerical.**[Citation Graph (0, 0)][DBLP] FOCI, 2007, pp:538-543 [Conf] - Mahnhoon Lee, Roelof K. Brouwer
**Likelihood Based Fuzzy Clustering for Data Sets of Mixed Features.**[Citation Graph (0, 0)][DBLP] FOCI, 2007, pp:544-549 [Conf] **A Method of Proximity Matrix Based Fuzzy Clustering.**[Citation Graph (, )][DBLP]**A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors.**[Citation Graph (, )][DBLP]
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