Sentence examples for competitive learning from inspiring English sources

The cell's feedback regime exploits the adaptation dynamics of floating gate pFET 'synapse' to perform competitive learning amongst input weights as time-staggered winner take all.

Competitive learning schemes like the Kohonen SOM [ 3] and hierarchical clustering are popular methods for visualization and identification of patterns in a large set of gene expression profiles.

Supervised network examined was a competitive learning vector quantization network.

This is achieved by the use of a competitive learning neural network that employs a frequency sensitive competitive learning mechanism to adaptively design the quantizer.

The clustering algorithms used are hierarchical, crisp (neural gas, self-organizing maps, hard competitive learning, k-means, maximin-distance, CLARA) and fuzzy (c-means, fuzzy competitive learning).

It doesn't take long to realise that the workplace can be an equally intense and competitive learning environment.

In this paper, the adaptive competitive learning (ACL) neural network algorithm is proposed.

This paper presents a batch competitive learning method called fuzzy-soft learning vector quantization (FSLVQ).

It exhibits competitive learning accuracy when compared with standard regression techniques.

The algorithm incorporates a modified fuzzy competitive learning structure with a Bayesian decision rule.

The proposed discrimination network can be regarded as a connectionist model for competitive learning by evidence.