A method for training recurrent neural networks for classification by building basins of attraction. - Roelof K. Brouwer (Neural Networks, 1995)

Using a Feed-Forward Network to incorporate the Relation between Attractees and attractors in a generalized discrete Hopfield Network. - Roelof K. Brouwer (Int. J. Neural Syst., 1996)

Training a feed-forward network by feeding gradients forward rather than by back-propagation of errors. - Roelof K. Brouwer (Neurocomputing, 1997)

Automatic Growing of a Hopfield Style Network During Training for Classification. - Roelof K. Brouwer (Neural Networks, 1997)

Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network. - Roelof K. Brouwer (Neural Process. Lett., 1997)

The Backpropagation Algorithm in J, a Fast Prototyping Tool for Researching Neural Networks. - Roelof K. Brouwer (Int. J. Neural Syst., 1999)

Growing of a Fuzzy Recurrent Artificial Neural Network (Frann) for Pattern Classification. - Roelof K. Brouwer (Int. J. Neural Syst., 1999)

A Fuzzy Neuron with Binary Input and its Training Algorithm. - Roelof K. Brouwer (Neural Process. Lett., 1999)

A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors. - Roelof K. Brouwer (SBRN, 2000)

An Integer Recurrent Artificial Neural Network for Classifying Feature Vectors. - Roelof K. Brouwer (Int. J. Pattern Recognit. Artif. Intell., 2000)

A Fuzzy Recurrent Artificial Neural Network (FRANN) for Pattern Classification. - Roelof K. Brouwer (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

One-to-many mappings represented on feed-forward networks. - Roelof K. Brouwer; Witold Pedrycz (ESANN, 2001)

A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors. - Roelof K. Brouwer (Int. J. Neural Syst., 2001)

Storing many-to-many mappings on a feed-forward neural network using fuzzy sets. - Roelof K. Brouwer (ESANN, 2002)

Using a Helper FFN to Represent the Cost Function for Training DRNN's by Gradient Descent. - Roelof K. Brouwer (HIS, 2002)

A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification. - Roelof K. Brouwer (Int. J. Neural Syst., 2002)

A Discrete Fully Recurrent Network of Sigmoid Units for Associative Memory and Pattern Classification. - Roelof K. Brouwer (Int. J. Pattern Recognit. Artif. Intell., 2002)

A feed-forward network for input that is both categorical and quantitative. - Roelof K. Brouwer (Neural Networks, 2002)

A Feed Forward Network and Its Training Algorithm for Producing Sets. - Roelof K. Brouwer; Witold Pedrycz (Neural Networks and Computational Intelligence, 2003)

Training a feed-forward network with incomplete data due to missing input variables. - Roelof K. Brouwer; Witold Pedrycz (Appl. Soft Comput., 2003)

A Solution Method for Truncated Normalized Max Product Fuzzy Set of Equations. - Roelof K. Brouwer (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003)

Set oriented mappings on neural networks. - Roelof K. Brouwer; Witold Pedrycz (Soft Comput., 2003)

A hybrid neural network for input that is both categorical and quantitative. - Roelof K. Brouwer (Int. J. Intell. Syst., 2004)

Feed-forward neural network for one-to-many mappings using fuzzy sets. - Roelof K. Brouwer (Neurocomputing, 2004)

Fuzzy Rule Extraction from a Feed Forward Neural Network by Training a Representative Fuzzy Neural Network Using Gradient Descent. - Roelof K. Brouwer (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005)

Automatic training of a min-max neural network for function approximation by using a second feed forward network. - Roelof K. Brouwer (Soft Comput., 2005)

Training of a discrete recurrent neural network for sequence classification by using a helper FNN. - Roelof K. Brouwer (Soft Comput., 2005)

Fuzzy set covering of a set of ordinal attributes without parameter sharing. - Roelof K. Brouwer (Fuzzy Sets Syst., 2006)

Fuzzy Clustering and Mapping of Ordinal Values to Numerical. - Mahnhoon Lee; Roelof K. Brouwer (FOCI, 2007)

Likelihood Based Fuzzy Clustering for Data Sets of Mixed Features. - Mahnhoon Lee; Roelof K. Brouwer (FOCI, 2007)

A Method of Proximity Matrix Based Fuzzy Clustering. - Roelof K. Brouwer; Albert A. Groenwold (FSKD (2), 2007)

A New Method of Fuzzy Clustering of Ordinal Feature Valued Vectors. - Roelof K. Brouwer (IICAI, 2007)

A method for fuzzy clustering with ordinal attributes. - Roelof K. Brouwer (Int. J. Intell. Syst., 2007)

Another method of relational fuzzy clustering. - Roelof K. Brouwer (SMC, 2008)

Clustering feature vectors with mixed numerical and categorical attributes. - Roelof K. Brouwer (Int. J. Comput. Intell. Syst., 2008)

Clustering Quality Measures Based on Comparing the Proximity Matrices for the Membership Vectors and the Objects. - Roelof K. Brouwer (Int. J. Pattern Recognit. Artif. Intell., 2008)

Fuzzy Clustering of Feature Vectors with Some Ordinal Valued Attributes Using Gradient Descent for Learning. - Roelof K. Brouwer (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008)

Permutation clustering using the proximity matrix. - Roelof K. Brouwer (FUZZ-IEEE, 2009)

Fixed point relational fuzzy clustering. - Roelof K. Brouwer (ICARA, 2009)

Fuzzy Relational Fixed Point Clustering. - Roelof K. Brouwer (Int. J. Comput. Intell. Syst., 2009)

A method of relational fuzzy clustering based on producing feature vectors using FastMap. - Roelof Kars Brouwer (Inf. Sci., 2009)

Extending the rand, adjusted rand and jaccard indices to fuzzy partitions. - Roelof K. Brouwer (J. Intell. Inf. Syst., 2009)

Fuzzy relational clustering based on comparing two proximity matrices with utilization of particle swarm optimization. - Roelof K. Brouwer; Albert A. Groenwold (Soft Comput., 2009)

Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization. - Roelof K. Brouwer; Albert A. Groenwold (Fuzzy Sets Syst., 2010)