On the use of neural networks in high-energy physics experiments

Abstract We investigate the possibilities for applying neural networks in high-energy physics experiments. After a survey of the main “intelligent behavior paradigms”, we discuss a number of possibilities where this new technology finds its application in particle detectors and particle accelerators. Finally, we comment on commercially available NN-tools, point to their limitations and extrapolate into the future.