# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "TSLSTM" in publications use:' type: software license: GPL-3.0-only title: 'TSLSTM: Long Short Term Memory (LSTM) Model for Time Series Forecasting' version: 0.1.0 doi: 10.32614/CRAN.package.TSLSTM abstract: The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Min-Max transformation has been used for data preparation. Here, we have used one LSTM layer as a simple LSTM model and a Dense layer is used as the output layer. Then, compile the model using the loss function, optimizer and metrics. This package is based on Keras and TensorFlow modules and the algorithm of Paul and Garai (2021) . authors: - family-names: Paul given-names: Dr. Ranjit Kumar email: ranjitstat@gmail.com - family-names: Yeasin given-names: Dr. Md email: yeasin.iasri@gmail.com repository: https://ranjitstat.r-universe.dev commit: 276da206a16dc21e79380e1fe7e0f20e2de02615 date-released: '2022-01-13' contact: - family-names: Paul given-names: Dr. Ranjit Kumar email: ranjitstat@gmail.com