In response to the problem of fixed time intervals for short-term traffic flow prediction, which fails meet requirements signal control based on cycle signals, this paper proposes an improved long memory-based method periodic volume prediction. The presented in study involves improvements Long Short-Term Memory (iLSTM) and Bidirectional (iBiLSTM) models, leading construction iBiLSTM-iLSTM-NN mo...

The main objective of this research is the index of profitability on the capital structure of listed companies on the Stock Exchange of Tehran. Statistical population consisted of all above companies that 138 companies were selected in time zone of 2011-2014 after screening method (systematic elimination). The research method is descriptive and correlation and study variable is profitability in...

“Short-term load forecasting (STLF)” is increasingly significant because of the extensive use distributed energy resources, incorporation intermitted RES, and implementation DSM. This paper provides a novel ensemble model with wavelet transform for STLF depending on decomposition principle profiles. The can effectively capture portion daily profiles caused by seasonal variations. results indica...

Short-term traffic flow prediction can provide a basis for management and support travelers to make decisions. Accurate short-term also provides necessary conditions the sustainable development of environment. Although application deep learning methods has achieved good accuracy, problem combining multiple improve accuracy single method still margin in-depth research. In this article, combined ...