Design of neural networks model for transmission angle of a modified mechanism |
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Authors: | Şahin Yildirim Selçuk Erkaya Sükrü Su İbrahim Uzmay |
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Affiliation: | (1) Department of Mechanical Engineering Kayseri, Erciyes University, Engineering Faculty, TURKEY |
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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. |
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Keywords: | Transmission Angle Neural Network Slider-crank Mechanism Learning Algorithms |
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