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Roelof K. Brouwer
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- affiliation: Thompson Rivers University, Department of Computing Science
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2010 – 2019
- 2010
- [j32]Roelof K. Brouwer, Albert A. Groenwold:
Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization. Fuzzy Sets Syst. 161(13): 1774-1789 (2010)
2000 – 2009
- 2009
- [j31]Roelof K. Brouwer:
Fuzzy Relational Fixed Point Clustering. Int. J. Comput. Intell. Syst. 2(1): 69-82 (2009) - [j30]Roelof Kars Brouwer:
A method of relational fuzzy clustering based on producing feature vectors using FastMap. Inf. Sci. 179(20): 3561-3582 (2009) - [j29]Roelof K. Brouwer:
Extending the rand, adjusted rand and jaccard indices to fuzzy partitions. J. Intell. Inf. Syst. 32(3): 213-235 (2009) - [j28]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): 577-589 (2009) - [c13]Roelof K. Brouwer:
Permutation clustering using the proximity matrix. FUZZ-IEEE 2009: 441-446 - [c12]Roelof K. Brouwer:
Fixed point relational fuzzy clustering. ICARA 2009: 115-120 - 2008
- [j27]Roelof K. Brouwer:
Clustering feature vectors with mixed numerical and categorical attributes. Int. J. Comput. Intell. Syst. 1(4): 285-298 (2008) - [j26]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): 1513-1538 (2008) - [j25]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): 195-218 (2008) - [c11]Roelof K. Brouwer:
Another method of relational fuzzy clustering. SMC 2008: 577-582 - 2007
- [j24]Roelof K. Brouwer:
A method for fuzzy clustering with ordinal attributes. Int. J. Intell. Syst. 22(6): 599-620 (2007) - [c10]Mahnhoon Lee, Roelof K. Brouwer:
Fuzzy Clustering and Mapping of Ordinal Values to Numerical. FOCI 2007: 538-543 - [c9]Mahnhoon Lee, Roelof K. Brouwer:
Likelihood Based Fuzzy Clustering for Data Sets of Mixed Features. FOCI 2007: 544-549 - [c8]Roelof K. Brouwer, Albert A. Groenwold:
A Method of Proximity Matrix Based Fuzzy Clustering. FSKD (2) 2007: 91-97 - [c7]Roelof K. Brouwer:
A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors. IICAI 2007: 278-291 - 2006
- [j23]Roelof K. Brouwer:
Fuzzy set covering of a set of ordinal attributes without parameter sharing. Fuzzy Sets Syst. 157(13): 1775-1786 (2006) - 2005
- [j22]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): 673-698 (2005) - [j21]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): 393-397 (2005) - [j20]Roelof K. Brouwer:
Training of a discrete recurrent neural network for sequence classification by using a helper FNN. Soft Comput. 9(10): 749-756 (2005) - 2004
- [j19]Roelof K. Brouwer:
A hybrid neural network for input that is both categorical and quantitative. Int. J. Intell. Syst. 19(10): 979-1001 (2004) - [j18]Roelof K. Brouwer:
Feed-forward neural network for one-to-many mappings using fuzzy sets. Neurocomputing 57: 345-360 (2004) - 2003
- [j17]Roelof K. Brouwer, Witold Pedrycz:
Training a feed-forward network with incomplete data due to missing input variables. Appl. Soft Comput. 3(1): 23-36 (2003) - [j16]Roelof K. Brouwer:
A Solution Method for Truncated Normalized Max Product Fuzzy Set of Equations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 11(3): 361-372 (2003) - [j15]Roelof K. Brouwer, Witold Pedrycz:
Set oriented mappings on neural networks. Soft Comput. 8(1): 28-37 (2003) - [c6]Roelof K. Brouwer, Witold Pedrycz:
A Feed Forward Network and Its Training Algorithm for Producing Sets. Neural Networks and Computational Intelligence 2003: 112-117 - 2002
- [j14]Roelof K. Brouwer:
A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification. Int. J. Neural Syst. 12(3-4): 247-262 (2002) - [j13]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): 527-550 (2002) - [j12]Roelof K. Brouwer:
A feed-forward network for input that is both categorical and quantitative. Neural Networks 15(7): 881-890 (2002) - [c5]Roelof K. Brouwer:
Storing many-to-many mappings on a feed-forward neural network using fuzzy sets. ESANN 2002: 13-18 - [c4]Roelof K. Brouwer:
Using a Helper FFN to Represent the Cost Function for Training DRNN's by Gradient Descent. HIS 2002: 707-714 - 2001
- [j11]Roelof K. Brouwer:
A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors. Int. J. Neural Syst. 11(3): 271-279 (2001) - [c3]Roelof K. Brouwer, Witold Pedrycz:
One-to-many mappings represented on feed-forward networks. ESANN 2001: 365-370 - 2000
- [j10]Roelof K. Brouwer:
An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors. Int. J. Pattern Recognit. Artif. Intell. 14(3): 339-355 (2000) - [j9]Roelof K. Brouwer:
A Fuzzy Recurrent Artificial Neural Network (FRANN) for Pattern Classification. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8(5): 525-538 (2000) - [c2]Roelof K. Brouwer:
A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors. SBRN 2000: 208-212
1990 – 1999
- 1999
- [j8]Roelof K. Brouwer:
The Backpropagation Algorithm in J, a Fast Prototyping Tool for Researching Neural Networks. Int. J. Neural Syst. 9(4): 273-284 (1999) - [j7]Roelof K. Brouwer:
Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification. Int. J. Neural Syst. 9(4): 335-350 (1999) - [j6]Roelof K. Brouwer:
A Fuzzy Neuron with Binary Input and its Training Algorithm. Neural Process. Lett. 9(1): 25-33 (1999) - [c1]Roelof K. Brouwer:
An integer recurrent artificial neural network for classifying feature vectors. ESANN 1999: 307-312 - 1997
- [j5]Roelof K. Brouwer:
Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors. Neurocomputing 16(2): 117-126 (1997) - [j4]Roelof K. Brouwer:
Automatic Growing of a Hopfield Style Network During Training for Classification. Neural Networks 10(3): 529-537 (1997) - [j3]Roelof K. Brouwer:
Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network. Neural Process. Lett. 5(1): 1-7 (1997) - 1996
- [j2]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): 273-286 (1996) - 1995
- [j1]Roelof K. Brouwer:
A method for training recurrent neural networks for classification by building basins of attraction. Neural Networks 8(4): 597-603 (1995)
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