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Ioannis G. Tsoulos and Vasileios Charilogis
In the present work, an innovative two-phase method is presented for parameter tuning in radial basis function artificial neural networks. These kinds of machine learning models find application in many scientific fields in classification problems or in ...
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Xiaoping Jiang, Huilin Zhao, Junwei Liu, Suliang Ma and Mingzhen Hu
To address the problems of difficult online monitoring, low recognition efficiency and the subjectivity of work condition identification in mineral flotation processes, a foam flotation performance state recognition method is developed to improve the iss...
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Nurgul Yesiloglu-Gultekin
Classification systems are crucial to the description and classification of soils, helping to facilitate soil identification, as well as the understanding, and interpretation of soil materials worldwide. In this study, EN ISO 14688-2:2018 and ASTM D2487-...
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Yunkai Ruan, Jinzi Chen, Zhongmou Fan, Tanhua Wang, Jianguo Mu, Ranran Huo, Wei Huang, Weicheng Liu, Yunjian Li and Yunqiang Sun
In this study, the K-means algorithm based on particle swarm optimization (K-PSO) and game theory are introduced to establish the quality evaluation model of a rock mass. Five evaluation factors were considered, i.e., uniaxial saturated compressive stren...
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Artemiy Belousov, Ivan Kisel and Robin Lakos
Fast and efficient algorithms optimized for high performance computers are crucial for the real-time analysis of data in heavy-ion physics experiments. Furthermore, the application of neural networks and other machine learning techniques has become more ...
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