Hong-yan Zuo

TL;DR: A novel identification method of rock and soil parameters for vibration drilling based on the fuzzy least squares-support vector machine was developed, in which the fuzzy membership function was set by using linear distance and its parameters were optimized by using adaptive genetic algorithm.

TL;DR: In order to ensure overall optimization of the underground metal mine production scale, multidisciplinary design optimization model of production scale which covers the subsystem objective function of income of production, safety and environmental impact was established by using multi-disciplinary design optimization method as mentioned in this paper.

TL;DR: The simulation results reveal that fuzzy least squares support vector machines soft measurement model is of better approximation accuracy and robustness than other soft measurement models tested.

TL;DR: Through the safety diagnosis on coal mine roadway rail Transportation system, the result shows that the unsafe probability is about 0.5 influenced by no speed reduction and over quick turnout on roadway, which is the most possible reason leading to the accident of roadway rail transportation system.

TL;DR: Wang et al. as discussed by the authors used the improved fuzzy radial basis function neural network (FRBFNN) model of instability identification model about large scale underground mined-out area in the metal mine.