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Rough sets theory can be applied to the problem of pattern recognition using neural networks in three different stages: preprocessing, learning rule and in the architecture. This paper discusses the use of rough set theory in the architecture of the unsupervised neural network, which is implemented, by the use of rough neuron. The rough neuron consists of two neurons: upper boundary neuron and lower...
The main activity carried out by the geophysicist when interpreting seismic data, in terms of both importance and time spent is tracking (or picking) seismic events. In practice, this activity turns out to be rather challenging, particularly when the targeted event is interrupted by discontinuities such as geological faults or exhibits lateral changes in seismic character. In recent years, several...
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