Deep Recurrent Learning Through Long Short Term Memory and TOPSIS

arXiv:2301.00693v2 Announce Type: replace-cross
Abstract: Enterprise resource planning (ERP) software brings resources, data together to keep software-flow within business processes in a company. However, cloud computing's cheap, easy and quick management promise pushes business-owners for a transition from monolithic to a data-center/cloud based ERP. Since cloud-ERP development involves a cyclic process, namely planning, implementing, testing and upgrading, its adoption is realized as a deep recurrent neural network problem. Eventually, a classification algorithm based on long short term memory (LSTM) and …

abstract arxiv business business processes center cloud cloud computing computing cs.ai cs.lg cs.se data development easy enterprise enterprise resource planning erp flow however management memory planning processes resources software through together transition type