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
J. Intell. Inf. Syst., 2009
A method of relational fuzzy clustering based on producing feature vectors using FastMap.
Inf. Sci., 2009
Proceedings of the 4th International Conference on Autonomous Robots and Agents, 2009
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
Int. J. Comput. Intell. Syst., 2008
Proceedings of the IEEE International Conference on Systems, 2008
2007
A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
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
Neurocomputing, 2004
Int. J. Intell. Syst., 2004
2003
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003
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
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
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
2001
Int. J. Neural Syst., 2001
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
2000
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000
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
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
Neural Process. Lett., 1997
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