Roelof K. Brouwer

44 papers B 5C 1Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2010	J	`jnl`	Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization. Fuzzy Sets Syst. Roelof K. Brouwer, Albert A. Groenwold
2009	J	`jnl`	Extending the rand, adjusted rand and jaccard indices to fuzzy partitions. J. Intell. Inf. Syst. Roelof K. Brouwer
2009	—	`conf`	Fixed point relational fuzzy clustering. ICARA Roelof K. Brouwer
2009	J	`jnl`	Fuzzy Relational Fixed Point Clustering. Int. J. Comput. Intell. Syst. Roelof K. Brouwer
2009	J	`jnl`	Fuzzy relational clustering based on comparing two proximity matrices with utilization of particle swarm optimization. Soft Comput. Roelof K. Brouwer, Albert A. Groenwold
2009	B	`conf`	Permutation clustering using the proximity matrix. FUZZ-IEEE Roelof K. Brouwer
2008	B	`conf`	Another method of relational fuzzy clustering. SMC Roelof K. Brouwer
2008	J	`jnl`	Clustering Quality Measures Based on Comparing the Proximity Matrices for the Membership Vectors and the Objects. Int. J. Pattern Recognit. Artif. Intell. Roelof K. Brouwer
2008	J	`jnl`	Clustering feature vectors with mixed numerical and categorical attributes. Int. J. Comput. Intell. Syst. Roelof K. Brouwer
2008	J	`jnl`	Fuzzy Clustering of Feature Vectors with Some Ordinal Valued Attributes Using Gradient Descent for Learning. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Roelof K. Brouwer
2007	—	`conf`	A Method of Proximity Matrix Based Fuzzy Clustering. FSKD (2) Roelof K. Brouwer, Albert A. Groenwold
2007	—	`conf`	A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors. IICAI Roelof K. Brouwer
2007	J	`jnl`	A method for fuzzy clustering with ordinal attributes. Int. J. Intell. Syst. Roelof K. Brouwer
2007	—	`conf`	Fuzzy Clustering and Mapping of Ordinal Values to Numerical. FOCI Mahnhoon Lee, Roelof K. Brouwer
2007	—	`conf`	Likelihood Based Fuzzy Clustering for Data Sets of Mixed Features. FOCI Mahnhoon Lee, Roelof K. Brouwer
2006	J	`jnl`	Fuzzy set covering of a set of ordinal attributes without parameter sharing. Fuzzy Sets Syst. Roelof K. Brouwer
2005	J	`jnl`	Automatic training of a min-max neural network for function approximation by using a second feed forward network. Soft Comput. Roelof K. Brouwer
2005	J	`jnl`	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. Roelof K. Brouwer
2005	J	`jnl`	Training of a discrete recurrent neural network for sequence classification by using a helper FNN. Soft Comput. Roelof K. Brouwer
2004	J	`jnl`	A hybrid neural network for input that is both categorical and quantitative. Int. J. Intell. Syst. Roelof K. Brouwer
2004	J	`jnl`	Feed-forward neural network for one-to-many mappings using fuzzy sets. Neurocomputing Roelof K. Brouwer
2003	—	`conf`	A Feed Forward Network and Its Training Algorithm for Producing Sets. Neural Networks and Computational Intelligence Roelof K. Brouwer, Witold Pedrycz
2003	J	`jnl`	A Solution Method for Truncated Normalized Max Product Fuzzy Set of Equations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Roelof K. Brouwer
2003	J	`jnl`	Set oriented mappings on neural networks. Soft Comput. Roelof K. Brouwer, Witold Pedrycz
2003	J	`jnl`	Training a feed-forward network with incomplete data due to missing input variables. Appl. Soft Comput. Roelof K. Brouwer, Witold Pedrycz
2002	J	`jnl`	A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification. Int. J. Neural Syst. Roelof K. Brouwer
2002	J	`jnl`	A Discrete Fully Recurrent Network of Sigmoid Units for Associative Memory and Pattern Classification. Int. J. Pattern Recognit. Artif. Intell. Roelof K. Brouwer
2002	J	`jnl`	A feed-forward network for input that is both categorical and quantitative. Neural Networks Roelof K. Brouwer
2002	B	`conf`	Storing many-to-many mappings on a feed-forward neural network using fuzzy sets. ESANN Roelof K. Brouwer
2002	C	`conf`	Using a Helper FFN to Represent the Cost Function for Training DRNN's by Gradient Descent. HIS Roelof K. Brouwer
2001	J	`jnl`	A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors. Int. J. Neural Syst. Roelof K. Brouwer
2001	B	`conf`	One-to-many mappings represented on feed-forward networks. ESANN Roelof K. Brouwer, Witold Pedrycz
2000	J	`jnl`	A Fuzzy Recurrent Artificial Neural Network (FRANN) for Pattern Classification. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Roelof K. Brouwer
2000	—	`conf`	A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors. SBRN Roelof K. Brouwer
2000	J	`jnl`	An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors. Int. J. Pattern Recognit. Artif. Intell. Roelof K. Brouwer
1999	J	`jnl`	A Fuzzy Neuron with Binary Input and its Training Algorithm. Neural Process. Lett. Roelof K. Brouwer
1999	B	`conf`	An integer recurrent artificial neural network for classifying feature vectors. ESANN Roelof K. Brouwer
1999	J	`jnl`	Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification. Int. J. Neural Syst. Roelof K. Brouwer
1999	J	`jnl`	The Backpropagation Algorithm in J, a Fast Prototyping Tool for Researching Neural Networks. Int. J. Neural Syst. Roelof K. Brouwer
1997	J	`jnl`	Automatic Growing of a Hopfield Style Network During Training for Classification. Neural Networks Roelof K. Brouwer
1997	J	`jnl`	Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network. Neural Process. Lett. Roelof K. Brouwer
1997	J	`jnl`	Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors. Neurocomputing Roelof K. Brouwer
1996	J	`jnl`	Using a Feed-Forward Network to incorporate the Relation between Attractees and attractors in a generalized discrete Hopfield Network. Int. J. Neural Syst. Roelof K. Brouwer
1995	J	`jnl`	A method for training recurrent neural networks for classification by building basins of attraction. Neural Networks Roelof K. Brouwer