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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)
Publication Information
Journal of Mechanical Science and Technology / v.19, no.10, 2005 , pp. 1875-1884 More about this Journal
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
Transmission Angle; Neural Network; Slider-crank Mechanism; Learning Algorithms;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
Times Cited By Web Of Science : 2  (Related Records In Web of Science)
Times Cited By SCOPUS : 2
연도 인용수 순위
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