A hexagonal Self-Organising Map (SOM) based on the Vulture Fest Model of intrusion detection illustrates the network landscape of wireless traffic comparing it with malicious traffic and contrasting it to traditional landline network traffic. This map can also provide visual security profiles of work groups and LAN administrators.

This paper discusses biological aspects of self-organising maps (SOMs) which includes a brief review of neurophysiological findings and classical models of neurophysiological SOMs. We then discuss some simulation studies on the role of topographic map representation for training mapping networks and on top-down control of map plasticity.

The paper describes a combinatorial creativity module embedded in a cognitive architecture. The proposed module is based on the focus of attention model proposed by and is implemented using Self Organising Map (SOM) neural networks.

This paper presents the results of modelling to predict the effluent biological oxygen demand (BOD5) concentration for primary clarifiers using a hybridisation of unsupervised and supervised artificial neural networks. The hybrid model is based on the unsupervised self-organising map (SOM) whose features were then used to train a multi-layered perceptron, feedforward back propagation artificial...

Purpose We studied the applicability of self-organising maps for searching for information in a document collection. Design / methodology / approach – After conventional preprocessing, like transform into vector space, documents from a German document collection were trained for a neural network of Kohonen selforganising map type. Such an unsupervised network forms a document map from which rel...

Medical professionals need help finding tumours in the ground truth image of brain because tumours’ location, contrast, intensity, size, and shape vary between images different acquisition methods, modalities, patient’s age. The medical examiner has difficulty manually separating a tumour from other parts Magnetic Resonance Imaging (MRI) image. Many semi- fully automated detection systems have ...

Self-Organising Maps are utilised in many data mining and knowledge management applications. Although various visualisations have been proposed for SOM, these techniques lack in distinguishing between the items mapped to the same unit. Here we present a novel technique for the visualisation of Self-Organising Maps that displays inputs not in the centre of the map units, but shifts them towards ...