Design of neural networks model for transmission angle of a modified mechanism


Yildirim S. , Erkaya S., Su S. , Uzmay I.

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, cilt.19, ss.1875-1884, 2005 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 19 Konu: 10
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1007/bf02984266
  • Dergi Adı: JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
  • Sayfa Sayıları: ss.1875-1884

Özet

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.
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.