Roelof K. Brouwer

Publication Activity (10 Years)

Years Active: 1995-2010
Publications (10 Years): 0

Publications

Roelof K. Brouwer, Albert A. Groenwold
Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization. Fuzzy Sets Syst. 161 (13) (2010)
Roelof K. Brouwer
Permutation clustering using the proximity matrix. FUZZ-IEEE (2009)
Roelof K. Brouwer
Fuzzy Relational Fixed Point Clustering. Int. J. Comput. Intell. Syst. 2 (1) (2009)
Roelof K. Brouwer
Fixed point relational fuzzy clustering. ICARA (2009)
Roelof K. Brouwer
Extending the rand, adjusted rand and jaccard indices to fuzzy partitions. J. Intell. Inf. Syst. 32 (3) (2009)
Roelof K. Brouwer, Albert A. Groenwold
Fuzzy relational clustering based on comparing two proximity matrices with utilization of particle swarm optimization. Soft Comput. 13 (6) (2009)
Roelof K. Brouwer
Clustering feature vectors with mixed numerical and categorical attributes. Int. J. Comput. Intell. Syst. 1 (4) (2008)
Roelof K. Brouwer
Another method of relational fuzzy clustering. SMC (2008)
Roelof K. Brouwer
Fuzzy Clustering of Feature Vectors with Some Ordinal Valued Attributes Using Gradient Descent for Learning. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16 (2) (2008)
Roelof K. Brouwer
Clustering Quality Measures Based on Comparing the Proximity Matrices for the Membership Vectors and the Objects. Int. J. Pattern Recognit. Artif. Intell. 22 (8) (2008)
Roelof K. Brouwer
A method for fuzzy clustering with ordinal attributes. Int. J. Intell. Syst. 22 (6) (2007)
Roelof K. Brouwer
A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors. IICAI (2007)
Mahnhoon Lee, Roelof K. Brouwer
Likelihood Based Fuzzy Clustering for Data Sets of Mixed Features. FOCI (2007)
Mahnhoon Lee, Roelof K. Brouwer
Fuzzy Clustering and Mapping of Ordinal Values to Numerical. FOCI (2007)
Roelof K. Brouwer, Albert A. Groenwold
A Method of Proximity Matrix Based Fuzzy Clustering. FSKD (2) (2007)
Roelof K. Brouwer
Fuzzy set covering of a set of ordinal attributes without parameter sharing. Fuzzy Sets Syst. 157 (13) (2006)
Roelof K. Brouwer
Fuzzy Rule Extraction from a Feed Forward Neural Network by Training a Representative Fuzzy Neural Network Using Gradient Descent. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13 (6) (2005)
Roelof K. Brouwer
Training of a discrete recurrent neural network for sequence classification by using a helper FNN. Soft Comput. 9 (10) (2005)
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) (2005)
Roelof K. Brouwer
Feed-forward neural network for one-to-many mappings using fuzzy sets. Neurocomputing 57 (2004)
Roelof K. Brouwer
A hybrid neural network for input that is both categorical and quantitative. Int. J. Intell. Syst. 19 (10) (2004)
Roelof K. Brouwer, Witold Pedrycz
A Feed Forward Network and Its Training Algorithm for Producing Sets. Neural Networks and Computational Intelligence (2003)
Roelof K. Brouwer, Witold Pedrycz
Set oriented mappings on neural networks. Soft Comput. 8 (1) (2003)
Roelof K. Brouwer, Witold Pedrycz
Training a feed-forward network with incomplete data due to missing input variables. Appl. Soft Comput. 3 (1) (2003)
Roelof K. Brouwer
A Solution Method for Truncated Normalized Max Product Fuzzy Set of Equations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 11 (3) (2003)
Roelof K. Brouwer
Storing many-to-many mappings on a feed-forward neural network using fuzzy sets. ESANN (2002)
Roelof K. Brouwer
Using a Helper FFN to Represent the Cost Function for Training DRNN's by Gradient Descent. HIS (2002)
Roelof K. Brouwer
A Discrete Fully Recurrent Network of Sigmoid Units for Associative Memory and Pattern Classification. Int. J. Pattern Recognit. Artif. Intell. 16 (5) (2002)
Roelof K. Brouwer
A feed-forward network for input that is both categorical and quantitative. Neural Networks 15 (7) (2002)
Roelof K. Brouwer
A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification. Int. J. Neural Syst. 12 (3-4) (2002)
Roelof K. Brouwer
A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors. Int. J. Neural Syst. 11 (3) (2001)
Roelof K. Brouwer, Witold Pedrycz
One-to-many mappings represented on feed-forward networks. ESANN (2001)
Roelof K. Brouwer
A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors. SBRN (2000)
Roelof K. Brouwer
An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors. Int. J. Pattern Recognit. Artif. Intell. 14 (3) (2000)
Roelof K. Brouwer
A Fuzzy Recurrent Artificial Neural Network (FRANN) for Pattern Classification. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8 (5) (2000)
Roelof K. Brouwer
Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification. Int. J. Neural Syst. 9 (4) (1999)
Roelof K. Brouwer
A Fuzzy Neuron with Binary Input and its Training Algorithm. Neural Process. Lett. 9 (1) (1999)
Roelof K. Brouwer
An integer recurrent artificial neural network for classifying feature vectors. ESANN (1999)
Roelof K. Brouwer
The Backpropagation Algorithm in J, a Fast Prototyping Tool for Researching Neural Networks. Int. J. Neural Syst. 9 (4) (1999)
Roelof K. Brouwer
Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network. Neural Process. Lett. 5 (1) (1997)
Roelof K. Brouwer
Automatic Growing of a Hopfield Style Network During Training for Classification. Neural Networks 10 (3) (1997)
Roelof K. Brouwer
Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors. Neurocomputing 16 (2) (1997)
Roelof K. Brouwer
Using a Feed-Forward Network to incorporate the Relation between Attractees and attractors in a generalized discrete Hopfield Network. Int. J. Neural Syst. 7 (3) (1996)
Roelof K. Brouwer
A method for training recurrent neural networks for classification by building basins of attraction. Neural Networks 8 (4) (1995)