Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Design of Neural Networks Model for Transmission Angle of a Modified Mechanism

  • Yildirim Sahin (Erciyes University, Engineering Faculty, Department of Mechanical Engineering) ;
  • Erkaya Selcuk (Erciyes University, Engineering Faculty, Department of Mechanical Engineering) ;
  • Su Siikrii (Erciyes University, Engineering Faculty, Department of Mechanical Engineering) ;
  • Uzmay ibrahim (Erciyes University, Engineering Faculty, Department of Mechanical Engineering)
  • Published : 2005.10.01
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Abstract

This paper discusses Neural Networks as predictor for analyzing of transmission angle of slider-crank mechanism. There are different types of neural network algorithms obtained by using chain rules. The neural network is a feedforward neural network. On the other hand, the slider-crank mechanism is a modified mechanism by using an additional link between connecting rod and crank pin. Through extensive simulations, these neural network models are shown to be effective for prediction and analyzing of a modified slider-crank mechanism's transmission angle.

Keywords

References

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