Abstract
In this paper an analysis is presented on performance of RPC chambers installed in the cosmic ray test stand at ISR, CERN. The currents of RPC chambers are studied as a function of environmental parameters such as temperature, humidity and pressure, which are important for the operation of the RPC detector system at CMS. A neural network approach has been used to analyze the data and to build a model using experimental measurements and combining the results of the simulations.
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