Self-organizing maps
Data mining using rule extraction from Kohonen self-organising maps
Neural Computing and Applications
Hybrid approach to MK classification of stars neural networks and knowledge-based systems
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Frequency-domain constructed redundant bases for denoising
MUSP'07 Proceedings of the 7th WSEAS International Conference on Multimedia Systems & Signal Processing
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Strong geomagnetic activity is a hazard to electronics and electric power facilities. Assessment of the actual geomagnetic activity level from local magnetometer monitoring therefore is of importance for risk assessment but also in earth sciences and exploration. Wavelet based signal processing methods are applied to extract meaningful information from magnetic field time series in a noisy environment. Using a proper feature vector a local geomagnetic activity index can be derived under not ideal circumstances using computer intelligence methods. Locally linear radial basis function nets and self organizing maps are discussed in this context as data based process models.