Prediction of the Production Rate of Chain Saw Machine using the Multilayer Perceptron (MLP) Neural Network
作者: Javad Mohammadi Mohammad Ataei Reza Khalo Kakaei Reza Mikaeil Sina Shaffiee Haghshenas
刊名: Civil Engineering Journal, 2018, Vol.4 (7)
来源数据库: C.E.J Publishing Group
DOI: https://doi.org/10.28991/cej-0309196
关键词: Chain Saw MachineProduction RateArtificial Neural NetworkCarbonate Rocks.
原始语种摘要: The production rate in rock cutting machines is one of the most influential parameters in designing and planning procedures. Complete understanding of the production rate of cutting machines help experts and owners of this industry to predict the production expenses. Therefore, the present study predicts the production rate of the chain saw machine in dimensional stone quarries. In this research, the method of artificial neural networks was used for modeling and predicting the production rate. In addition, in this modeling, 98 data were collected from the results obtained from field studies on 7 carbonate rock samples as the dataset. Four important parameters, including uniaxial compressive strength (UCS), Los Angeles abrasion (LAA) Test, equivalent quartz content (Qs), and Schmidt Hammer...
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关键词翻译
关键词翻译
  • machines 机械
  • Network 网络
  • cutting 伐木
  • modeling 制祝型
  • artificial 人为的
  • MLP Machine Language Program
  • production 生产
  • neural 神经系统的
  • selected 被选
  • account 计算