May 27, 2009 · This paper proposes a granular neural network (GNN) called granular reflex fuzzy min-max neural network (GrRFMN) which can learn and classify ...

Granular data classification and clustering is an upcoming and important issue in the field of pattern recognition. The paper proposes a granular neural ...

Granular data classification and clustering is an upcoming and important issue in the field of pattern recognition. The paper proposes a granular neural ...

This paper proposes a granular neural network (GNN) called granular reflex fuzzy min-max neural network (GrRFMN) which can learn and classify granular data.

This new neural network is a combination of extension theory and neural network. It uses an extension distance (ED) to measure the similarity between data and ...

"A Reflex Fuzzy Min-Max Neural network" (RFMN) based on hyperbox fuzzy sets is discussed. RFMN is capable to extract the underlying structure.

Abstract—“A General Reflex Fuzzy Min-Max Neural. Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of.

Duration: 54:16
Posted: Jun 2, 2014

The proposed new learning approach to deal with partially labeled data and inclusion of compensatory neurons, has improved the performance of GRFMN ...

A granular neural network called granular reflex fuzzy min-max neural network (GrRFMN). GrRFMN uses hyperbox fuzzy set to signify grainy information. Using ...