Roelof K. Brouwer

Affiliations:
  • Thompson Rivers University, Department of Computing Science


According to our database1, Roelof K. Brouwer authored at least 44 papers between 1995 and 2010.

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Bibliography

2010
Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization.
Fuzzy Sets Syst., 2010

2009
Fuzzy relational clustering based on comparing two proximity matrices with utilization of particle swarm optimization.
Soft Comput., 2009

Extending the rand, adjusted rand and jaccard indices to fuzzy partitions.
J. Intell. Inf. Syst., 2009

A method of relational fuzzy clustering based on producing feature vectors using FastMap.
Inf. Sci., 2009

Fuzzy Relational Fixed Point Clustering.
Int. J. Comput. Intell. Syst., 2009

Fixed point relational fuzzy clustering.
Proceedings of the 4th International Conference on Autonomous Robots and Agents, 2009

Permutation clustering using the proximity matrix.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
Fuzzy Clustering of Feature Vectors with Some Ordinal Valued Attributes Using Gradient Descent for Learning.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Clustering Quality Measures Based on Comparing the Proximity Matrices for the Membership Vectors and the Objects.
Int. J. Pattern Recognit. Artif. Intell., 2008

Clustering feature vectors with mixed numerical and categorical attributes.
Int. J. Comput. Intell. Syst., 2008

Another method of relational fuzzy clustering.
Proceedings of the IEEE International Conference on Systems, 2008

2007
A method for fuzzy clustering with ordinal attributes.
Int. J. Intell. Syst., 2007

A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

A Method of Proximity Matrix Based Fuzzy Clustering.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Likelihood Based Fuzzy Clustering for Data Sets of Mixed Features.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Fuzzy Clustering and Mapping of Ordinal Values to Numerical.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
Fuzzy set covering of a set of ordinal attributes without parameter sharing.
Fuzzy Sets Syst., 2006

2005
Training of a discrete recurrent neural network for sequence classification by using a helper FNN.
Soft Comput., 2005

Automatic training of a min-max neural network for function approximation by using a second feed forward network.
Soft Comput., 2005

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., 2005

2004
Feed-forward neural network for one-to-many mappings using fuzzy sets.
Neurocomputing, 2004

A hybrid neural network for input that is both categorical and quantitative.
Int. J. Intell. Syst., 2004

2003
Set oriented mappings on neural networks.
Soft Comput., 2003

A Solution Method for Truncated Normalized Max Product Fuzzy Set of Equations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003

Training a feed-forward network with incomplete data due to missing input variables.
Appl. Soft Comput., 2003

A Feed Forward Network and Its Training Algorithm for Producing Sets.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

2002
A feed-forward network for input that is both categorical and quantitative.
Neural Networks, 2002

A Discrete Fully Recurrent Network of Sigmoid Units for Associative Memory and Pattern Classification.
Int. J. Pattern Recognit. Artif. Intell., 2002

A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification.
Int. J. Neural Syst., 2002

Using a Helper FFN to Represent the Cost Function for Training DRNN's by Gradient Descent.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

Storing many-to-many mappings on a feed-forward neural network using fuzzy sets.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors.
Int. J. Neural Syst., 2001

One-to-many mappings represented on feed-forward networks.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000
A Fuzzy Recurrent Artificial Neural Network (FRANN) for Pattern Classification.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000

An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors.
Int. J. Pattern Recognit. Artif. Intell., 2000

A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

1999
A Fuzzy Neuron with Binary Input and its Training Algorithm.
Neural Process. Lett., 1999

Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification.
Int. J. Neural Syst., 1999

The Backpropagation Algorithm in J, a Fast Prototyping Tool for Researching Neural Networks.
Int. J. Neural Syst., 1999

1997
Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network.
Neural Process. Lett., 1997

Automatic Growing of a Hopfield Style Network During Training for Classification.
Neural Networks, 1997

Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors.
Neurocomputing, 1997

1996
Using a Feed-Forward Network to incorporate the Relation between Attractees and attractors in a generalized discrete Hopfield Network.
Int. J. Neural Syst., 1996

1995
A method for training recurrent neural networks for classification by building basins of attraction.
Neural Networks, 1995


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