Journal Paper

Paper Information

video

sound

Persian Version

View:

348

Download:

65

Cites:

Information Journal Paper

Title

APPLICATION OF CHAOS THEORY AND ARTIFICIAL NEURAL NETWORKS TO EVALUATE EVAPORATION FROM LAKE'S WATER SURFACE

Pages

 Start Page 61 | End Page 74

Abstract

 Introduction: Dynamic nature of HYDROLOGICAL PHENOMENA and the limited availability of appropriate mathematical tools caused the most previous studies in this field led to the random and the probabilistic approach. So selection the best model for evaluation of these phenomena is essential and complex. Nowadays different models are used for evaluation and PREDICTION of HYDROLOGICAL PHENOMENA. Damle and Yalcin (2007) estimated river runoff by chaos theory. khatibi et al (2012) used artificial neural network and gene expression programming to predict relative humidity. Zounemat and Kisi (2015) evaluated chaotic behavior of marine windwave system of Caspian sea. One of the important HYDROLOGICAL PHENOMENA is evaporation, especially in lakes.The investigation of deterministic and stochastic behavior of water evaporation values in the lakes in order to select the best simulation approach and capable of PREDICTION is an important and controversial issue that has been studied in this research. ...

Cites

  • No record.
  • References

  • No record.
  • Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops