Abstract
In this paper, one of the most commonly used artificial intelligence techniques, i.e. neural networks (NNs), due to its effective learning ability, is utilized to develop NN models that can build a design decision support system for facilitating the vehicle form design process and matching specific needs. The sand making machine is chosen as an empirical example because it is the main equipment for the mining machinery. However, product designers only pay attention to its structure and/or functions when they design it. Consequently, the design decision support system built in this paper can be an important reference for product designers’ work, which can examine the design optimization on product elements and help them do the best choice as they design a new vehicle product. The result shows that the NN technique is promising to help product designers design a new sand making machine that best meets specific needs.
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Acknowledgement
This research was, in part, supported by the Ministry of Science and Technology, Taiwan under Grant MOST105-2221-E-006-264.
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Zheng, F., Wei, CC., Lin, YC., Du, J., Yao, J. (2017). Intelligent Computing for Vehicle Form Design: A Case Study of Sand Making Machine. In: Peng, SL., Lee, GL., Klette, R., Hsu, CH. (eds) Internet of Vehicles. Technologies and Services for Smart Cities. IOV 2017. Lecture Notes in Computer Science(), vol 10689. Springer, Cham. https://doi.org/10.1007/978-3-319-72329-7_14
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DOI: https://doi.org/10.1007/978-3-319-72329-7_14
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