Author:
Pozevalkin V. V.,Polyakov A. N.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference5 articles.
1. Wiessner, M., Blaser, P., Bohl, S., et al., Thermal test piece for 5-axis machine tools, Precis. Eng., 2018, vol. 52, pp. 407–417.
2. Jian, B.L., Wang, C.C., Hsieh, C.T., et al., Predicting spindle displacement caused by heat using the general regression neural network, Int. J. Adv. Manuf. Technol., 2019, vol. 104, pp. 4665–4674.
3. Fu, G., Gong, H., Gao, H., et al., Integrated thermal error modeling of machine tool spindle using a chicken swarm optimization algorithm-based radial basic function neural network, Int. J. Adv. Manuf. Technol., 2019, vol. 105, pp. 2039–2055.
4. Sleptsov, G.N., Compilation of a training sample of an artificial neural network to predict the technical changes of a complex technical system, Kachestvo. Innovatsii. Obraz., 2015, no. 8, pp. 44–47.
5. Pozevalkin, V.V. and Polyakov, A.N., A model for predicting the temperature of a machine tool structure by a neural network using the sliding window method, IOP Conf. Ser.: Mater. Sci. Eng., 2021, vol. 1061, art. ID 012035.