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Biography
Prof.Roelof Kars Brouwer


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)

  1. Brouwer, R.K. Groenwold, Albert "Modified Fuzzy C-Means for Ordinal Valued Attributes " Fuzzy Sets and Systems
  2. 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.
  3. 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.
  4. Brouwer, R. K.  2009 "Fuzzy Relational Fixed Point Clustering" International Journal of Computational Intelligence and Systems Vol. 2, No. 1 (March) 69-82.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Brouwer, R. K. 2007 “A Method for Fuzzy Clustering with Ordinal Attributes” International Journal of Intellligent Systems 22 ( 6 ) (June ) Pages: 599 – 620.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Brouwer, R. K. 2004 “Feed-forward neural network for one-to-many mappings using fuzzy sets ”Neurocomputing57C(March) Pages: 345 – 360.
  16. 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.
  17. 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.
  18. 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.
  19. 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
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. Brouwer, R. K. 1999 “A Fuzzy Neuron with Binary Input and its Training Algorithm” Neural Processing Letters 9(1) February Pages: 25-33.
  28. Brouwer, R. K. 1997 “Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network” Neural Processing Letters, 5: Pages: 1-7.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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
  36. Brouwer, R. K. 2009 "Fixed Point Fuzzy relational Clustering" ICARA 2009 Wellington NewZealand
  37. 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
  38. Brouwer, R. K. 2008 “Another Method of Relational Fuzzy Clustering” SMC 2008 October 12-15  Singapore
  39. Brouwer, R. K. "A New Method of Fuzzy Clustering of Ordinal Valued Feature Vectors " IICAI-07 PuneIndiaDec 17-19
  40. Brouwer, R. K. Groenwold, Albert " A Method of Proximity Matrix  Based Fuzzy Clustering"FSKD'07HaikouChinaAugust 24-27
  41. Brouwer, R. K. 2007 "Clustering without Use of Prototypes with Gradient Descent for Cluster Optimization" NAFIPS 2007 June 24-27San Diego, 2007
  42. 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
  43. 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
  44. Brouwer, R. K. 2006 ”A Method for Fuzzy Clustering with Ordinal Attributes Replaced by Fuzzy Set Parameters” IEEE-IS06 (Accepted only)
  45. 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)
  46. Brouwer, R.K.  2005 “ Clustering with Mixed Attributes Consisting of Interval Valued and Ordinal Valued Attributes” CIRASSingaporeDec. 14-16

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