Hamid Moeeni

Environmental Engineering · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hamid Moeeni trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mohammad Valipour
  2. G. Zhang
  3. Durdu Ömer Faruk
  4. Vahid Nourani
  5. Ozgur Kisi
  6. D. R. Cox
  7. Ö. F. Durdu
  8. S. Rao
  9. R. Eberhart
  10. Isa Ebtehaj

Who trusts Hamid Moeeni overall

  1. Xiangang Luo
  2. Xiaohui Yuan

Papers from Hamid Moeeni's perspective

Ordered by how strongly the researchers Hamid Moeeni trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Time series analysis, forecasting and control
  2. Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
  3. Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir
  4. Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
  5. Parameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow Forecasting
  6. Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms
  7. Time series forecasting using a hybrid ARIMA and neural network model
  8. Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
  9. A hybrid neural network and ARIMA model for water quality time series prediction (Engineering applications of artificial intelligence)
  10. A new optimizer using particle swarm theory

Their papers