Abstract
In order to improve the innovation ability cultivation quality of machinery postgraduates, the mechatronics engineering is introduced to innovation ability cultivation system. Firstly, main measurements of training the innovation ability of machinery postgraduates based on mechatronics engineering are discussed. Secondly, the innovation ability cultivation quality evaluation model of machinery postgraduates based on mechatronics engineering is constructed, the fuzzy wavelet neural network trained by improved pollen algorithm is applied to evaluate the innovation ability cultivation quality of machinery postgraduates based on mechatronics. The evaluation index system is constructed, and the simulation analysis is carried out, results show that the proposed evaluation model can effectively evaluate innovation cultivation quality of the postgraduates majoring in mechatronics engineering.
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Acknowledgments
The research is supported by “Research Project of Postgraduate Education and Teaching Reform in Liaoning Shihua University (No. 2018Y14)”.
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Gao, D., Li, K., Zhao, B., Xu, L. (2019). Innovation Ability Cultivation Quality Evaluation Model of Postgraduate Students Majoring in Mechatronics Engineering. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11745. Springer, Cham. https://doi.org/10.1007/978-3-030-27529-7_46
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DOI: https://doi.org/10.1007/978-3-030-27529-7_46
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