Prof.
Roelof Kars Brouwer
Thompson Rivers University, Canada
Email: rkbrouwer@gmail.com
Qualifications
1996 Ph.D.,
University of Warwick
1968 M.M., University
of Waterloo
1966 B.A.Sc.,
University of British Columbia
Publications (Selected)
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Brouwer, R.K. Groenwold, Albert "Modified Fuzzy C-Means
for Ordinal Valued Attributes " Fuzzy Sets and Systems
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Brouwer, R. K. 2009 “A Method of Relational Fuzzy
Clustering based on Producing Feature Vectors using Fastmap” Information
Sciences Volume 179, Issue 20, (September), Pages: 3561-3582.
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Brouwer, R. K. 2009 “ Extending the Rand ,
AdjustedRand and Jaccard Indices to Fuzzy Partitions “
Journal of Intelligent Information Systems Volume 32, Number 3 (June) Pages:
213-235.
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Brouwer, R. K. 2009 "Fuzzy Relational Fixed Point
Clustering" International Journal of Computational Intelligence and
Systems Vol. 2, No. 1 (March) 69-82.
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Brouwer, R.K. and Groenwold, A.2009 ”Fuzzy Clustering
Requiring only the Proximity Matrix with Utilization of Particle Swarm
Optimization” Soft Computing Volume 13, Issue 6 , Pages: 57- 71.
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Brouwer, R. K. 2008 “Clustering feature vectors
with mixed numerical and categorical attributes” International Journal of
Computational Intelligence and Systems Vol.1, No. 4 (December), Pages:
285-298.
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Brouwer, R. K. 2008 “A Clustering Quality Measure based on
the Proximity Matrices for the Pattern Vectors and the Objects” IJPRAI Vol: 22
Issue: 8 (December) Pages: 1513 – 1538.
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Brouwer, R. K. 2008 "Fuzzy Clustering of Feature
Vectors with some Ordinal Valued Attributes Using Gradient Descent for
Learning" IJUFKS 16 (2) (April) Pages: 195-218.
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Brouwer, R. K. 2007 “A Method for Fuzzy Clustering with
Ordinal Attributes” International Journal of Intellligent Systems 22 ( 6 )
(June ) Pages: 599 – 620.
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Brouwer, R. K. 2006 “Fuzzy Set Covering of a Set of Ordinal
Values without Parameter Sharing” Fuzzy Sets and Systems 157(13) (July) Pages:
1775-1786.
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Brouwer, R. K. 2005 “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 Volume 13(6) (December).Pages: 673-698.
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Brouwer, R.K. 2005 “Training of a discrete recurrent neural
network for sequence classification by using a helper FNN” Soft Computing - A
Fusion of Foundations, Methodologies and Applicationsarchive Volume 9(10)
(October) Pages: 749 – 756.
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Brouwer, R.K. 2005 “Automatic Training of a Min-Max Neural
Network for Function Approximation by Using a second Feed Forward Network Soft
Computing - A Fusion of Foundations, Methodologies and Applications Volume 9 ,
Issue 5 (May) Pages: 393 – 397.
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Brouwer, R.K. 2004 “A Hybrid Neural Network for Input that
is both Categorical and Quantitative” International Journal of Intelligent
Systems Vol 19(10) (October) Pages: 979-1001.
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Brouwer, R. K. 2004 “Feed-forward neural network for
one-to-many mappings using fuzzy sets ”Neurocomputing57C(March) Pages: 345 –
360.
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Brouwer, R. K. and Predrycz, W. 2003 “Set oriented mappings
on neural networks” Soft Computing - A Fusion of Foundations, Methodologies and
Applications Volume 8(1): (July) Pages: 28-37.
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Brouwer, R. K. 2003 “A Solution Method for Truncated
Normalized Max Product Fuzzy Set of Equations” The International Journal of
Uncertainty, Fuzziness and Knowledge-Based Systems. 11(3) (June) Pages: 361 –
372.
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Brouwer, R. K. and Predrycz, W. 2003 “Training a
feed-forward network with incomplete data due to missing input variables”
Applied Soft Computing Journal 3 Pages: 23-36.
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Brouwer R. K. 2002 “A Discrete Fully Recurrent Network of
Max Product Units for Associative Memory and Classification.” International
Journal of Neural Systems Vol. 12 , Nos. 3 &4 (2002) Pages: 247-262
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Brouwer R. K. 2002 “A Discrete Fully Recurrent Network of
Sigmoid Units for Associative Memory and Classification.” International Journal
of Pattern Recognition and Artificial Intelligence. 16(5) Pages: 527-550.
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Brouwer, R. K. 2002 “A Feed Forward Network for Input that
is Both Categorical and Quantitative.” Neural Networks 15(7) September (2002)
Pages: 881-890.
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Brouwer, R.K. 2001 “A Proposed Max-Product Threshold Unit
for Classification of Pattern Vectors.” International Journal of Neural
Systems 11(3) (June) Pages: 271-279.
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Brouwer, R. K. 2000 “An Integer Recurrent Artificial Neural
Network for Classifying Feature Vectors” International Journal of Pattern
Recognition and Artificial Intelligence 14(3).Pages 339-355.
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Brouwer, R. K. 2000 "A Fuzzy Recurrent Artificial
Neural Network for Pattern Classification" International Journal of
Uncertainty, Fuzziness, and Knowledge-based Systems 8(5).Pages: 525-538.
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Brouwer, R. K. 1999 “The Backpropagation Algorithm in J, a
Fast Prototyping Tool for Researching Neural Networks” International Journal of
Neural Systems. 9(4) (August) Pages: 273-284.
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Brouwer, R. K. 1999 “Growing a Fuzzy Recurrent Artificial
Neural Network Connection Matrix for Pattern Classification “ International
Journal of Neural Systems. 9(4) (August) Pages: 335-350.
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Brouwer, R. K. 1999 “A Fuzzy Neuron with Binary Input and
its Training Algorithm” Neural Processing Letters 9(1) February Pages: 25-33.
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Brouwer, R. K. 1997 “Implementation of the Exclusive-Or
Function in a Hopfield Style Recurrent Network” Neural Processing Letters, 5:
Pages: 1-7.
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Brouwer, R. K. 1997 “Automatic Growing of a Hopfield Style
Network During Training for Classification”. Neural Networks ("the
premier journal in the field of neural networks and the official journal of
INNS, ENNS, and JNNS") Vol. 10, No. 3, Pages: 529-537.
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Brouwer, R. K. 1997 "Training a Feed forward Network by
Feeding Gradients Forward Rather than by Backpropagation of Errors"
Neurocomputing 16(2) Pages: 117-126.
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Brouwer, R. K. 1996 “Using a Feed-Forward Network to
Incorporate the Relation between Attractees and Attractors in a Generalized
Discrete Hopfield Network”. International Journal of Neural Systems. 7(3),
(July) Pages: 273-286.
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Brouwer, R. K. 1995 “A Method for Training Neural Networks
for Classification by Building Basins of Attraction”. Neural Networks ("the
premier journal in the field of neural networks and the official journal of
INNS, ENNS, and JNNS") 8(4) Pages: 597-603.
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Brouwer, R. K. & McCauley, C 1995 “Classifying Cervical
Cells Using A Recurrent Neural Network by Building Basins of Attraction” Analytical
and Quantitative Cytology and Histology 17(3) Pages: 197-203.
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Brouwer, R. K. 1994 “Present Worth of Cost of Using Up an
Additional Unit of Spare Capacity” International Journal of Production
Economics 36 Pages: 185-190.
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Brouwer, R. K. andGraves, C. 2010 “A Simple Method for
Mining Association Rules CCECE2010”Brouwer, R. K. 2009 “Permutation
Clustering using the Proximity Matrix” FUZZ-IEEE 2009
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Brouwer, R. K. 2009 "Fixed Point Fuzzy relational
Clustering" ICARA 2009 Wellington NewZealand
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Brouwer, R. K. 2008 “Fuzzy forms of the Rand ,
Adjusted Rand and Jaccard Indices for Fuzzy Partitions of Gene
expression and other data” Third IAPR International Conference on Pattern
Recognition in Bioinformatics (PRIB 2008) October 15 – 17, 2008 Novotel St
Kilda, Melbourne , Australia
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Brouwer, R. K. 2008 “Another Method of Relational Fuzzy
Clustering” SMC 2008 October 12-15 Singapore
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Brouwer, R. K. "A New Method of Fuzzy Clustering of
Ordinal Valued Feature Vectors " IICAI-07 PuneIndiaDec 17-19
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Brouwer, R. K. Groenwold, Albert " A Method of
Proximity Matrix Based Fuzzy Clustering"FSKD'07HaikouChinaAugust
24-27
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Brouwer, R. K. 2007 "Clustering without Use of
Prototypes with Gradient Descent for Cluster Optimization" NAFIPS 2007
June 24-27San Diego, 2007
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Lee, M. and Brouwer, R. K. 2007 “Fuzzy Clustering and
MaPages: ing of Ordinal Values to Numerical” IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2007) April 1-5
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Lee, M. and Brouwer, R. K. 2007 “Likelihood Based
Fuzzy Clustering for Data Sets of Mixed Features” IEEE Symposium Series on
Computational Intelligence (IEEE SSCI 2007) April 1-5
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Brouwer, R. K. 2006 ”A Method for Fuzzy Clustering with
Ordinal Attributes Replaced by Fuzzy Set Parameters” IEEE-IS06 (Accepted only)
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Brouwer, R.K. 2005 “A Method for Fuzzy Clustering with
Ordinal Attributes Replaced by Fuzzy Set Parameters” International Conference
on Cognition RecognitionMysoreIndiaDec 22-23(Accepted only)
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Brouwer, R.K. 2005 “ Clustering with Mixed Attributes
Consisting of Interval Valued and Ordinal Valued Attributes” CIRASSingaporeDec.
14-16
Profile Details
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