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Reservoir computing is known as a recent training concept in machine learning. This method is particularly useful in solving a broad category of categorization and recognition problems. The aim of this paper is using photonic reservoir computing for noisy time series classification. A complex network of photonic crystal cavities is used for modeling photonic reservoir computing. Applying nanophotonic reservoir computing resulted in perfect (100%) recognition accuracy for noise-less time seriesdoi:10.7763/ijcee.2014.v6.830 fatcat:wf62pnxj35hthoniy5iakwwn7i