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Sulej, R; Zaremba, K; Kurek, K; Rondio, E
Measurement science & technology, 08/2007, Volume: 18, Issue: 8Journal Article
In this paper, we present the application of a neural network for events classification in a high-energy physics experiment. As a network model we use a multi-layer perceptron with a dynamic topology adjustment algorithm. Our solution covers both adding new hidden neuron units and removing unnecessary units. Neural network results are compared to the standard kinematical cuts techniq1guuuuue and to the well-known k-nearest neighbour classifier.
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