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Long Short Term Memory Networks for Anomaly Detection in Time Series PankajMalhotra 1,LovekeshVig2,GautamShroff ,PuneetAgarwal 1-TCSResearch,Delhi,India 2-JawaharlalNehruUniversity,NewDelhi,India Abstract. Long Short Term Memory (LSTM) networks have been demonstrated to be particularly useful for learning sequences containing Jul 27, 2018 · Material & Method StepⅠ Convert Radiation treatment plan to Expected position of MLC • Computer Language: Matlab • Parameters: Monitor unit per second, Dose rate, Gantry angle Step Ⅱ Prediction Actual position of MLC using Artificial neural network • Computer Language: Python • Type of neural net: RNN: LSTM • Deep learning ...