Iraj Najmoddini

ORCID: 0000-0003-1920-7004
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About
Contact & Profiles
Research Areas
  • Rock Mechanics and Modeling
  • Metal Extraction and Bioleaching
  • Mineral Processing and Grinding
  • Grouting, Rheology, and Soil Mechanics
  • Non-Destructive Testing Techniques
  • Geophysical Methods and Applications
  • Geoscience and Mining Technology
  • Drilling and Well Engineering

University of Kurdistan
2017-2021

The paper describes an artificial neural network (ANN) model to predict the height of destressed zone (HDZ) which is taken as equivalent combined caved and fractured zones above mined panel in longwall mining. For this, suitable datasets have been collected from literatures prepared for modeling. data were used construct a multilayer perceptron (MLP) approximate unknown nonlinear relationship between input parameters HDZ. MLP proposed predicted values enough agreements with measured ones...

10.22059/ijmge.2017.62147 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2017-06-01
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