Active audition using the parameter-less self-organising map

A Self-Organising Hybrid Model for Dynamic Text Clustering

A text clustering neural model, traditionally, is assumed to cluster static text information and represent its inner structure on a flat map. However, the quantity of text information is continuously growing and the relationships between them are usually complicated. Therefore, the information is not static and a flat map may be not enough to describe the relationships of input data. In this pa...

Speech Processing Using Artificial Neural Networks

A three layer perceptron network is used to classify the /i/ sound using isolated words from diierent speakers. A classiication accuracy of 97% has been achieved. A map of phonemes is used to trace trajectories of utterances using the self-organising neural network. A crinkle factor is proposed which allows using the self-organising map to determine the inherent dimensionality of a set of point...

Co-operative Extended Kohonen Mapping

This paper discusses a methodology to manage wireless sensor networks (WSN) with self-organising feature maps, using co-operative Extended Kohonen Maps (EKMs). EKMs have been successfully demonstrated in other machine-learning contexts such as learning sensori-motor control and feedback tasks. Through a quantitative analysis of the algorithmic process, an indirect-mapping EKM can self-organise ...

Visualising Spatial Patterns in Fruit Quality and Productivity of Persimmon Orchards using Self Organising Maps

Fruit quality and productivity datasets, obtained over two seasons from 24 New Zealand persimmon orchards, were associated with a self organising map trained on the spatial coordinates and geographic region of each orchard. Using this approach, a summary representation of the geographic distribution of the orchards was obtained from the projection plane of the self organising map. By overlaying...

The self-organising map, robustness, self-organising criticality and power law