Forschungs- & Entwicklungsinformationsdienst der Gemeinschaft - CORDIS

Algorithms and software for a feed-forward neural networks

Fast design procedures for a subclass of stack filters, called 'weighted order statistic' (WOS) filters in the real domain was one of the major results that have been obtained. The optimization of WOS filters in the real domain domain saves an enormous amount of computation time as well as storage. Other adaptive structures for optimal design of WOS filters were also proposed. These include both locally adaptive and trainable algorithms. The different techniques developed can be implemented in very large scale integration (VLSI). Chip/boards implementing the algorithms may figure in new television sets, video recorder/players, cameras and other imaging devices. The algorithms developed were shown to outperform existing algorithms in the literature through analytic derivation and computer simulations. Other areas that might benefit from the results developed include medicine, oil exploration and mining, computer vision (particularly fault inspection and on-line tasks).

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Tampere University of Technology
Hermiankatu 12 C
33720 Tampere
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