We have used a neural network (NN) technique for track reconstruction in a realistic environment. An algorithm based on an Hopfield-style recurrent NN was developed and tested on the track coordinates measured by the TPC of the ALEPH detector at LEP. The efficiency and time consumption are given and
โฆ LIBER โฆ
Fast neural network simulations with population density methods
โ Scribed by Duane Q Nykamp; Daniel Tranchina
- Book ID
- 114295611
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 179 KB
- Volume
- 32-33
- Category
- Article
- ISSN
- 0925-2312
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## Abstract The Elman network is used frequently in learning time series. However, it has several problems: (1) a comparatively long learning time, (2) learning is not necessarily successful, (3) lack of discussions on a generalization ability, and (4) the necessity of deciding unit numbers and the