首页>
中文期刊>
《中南大学学报》
>Identification on rock and soil parameters for vibration drilling rock in metal mine based on fuzzy least square support vector machine
Identification on rock and soil parameters for vibration drilling rock in metal mine based on fuzzy least square support vector machine
A single freedom degree model of drilling bit-rock was established according to the vibration mechanism and its dynamic characteristics. Moreover, a novel identification method of rock and soil parameters for vibration drilling based on the fuzzy least squares(FLS)-support vector machine(SVM) was developed, in which the fuzzy membership function was set by using linear distance, and its parameters, such as penalty factor and kernel parameter, were optimized by using adaptive genetic algorithm. And FLS-SVM identification on rock and soil parameters for vibration drilling was made by changing the input/output data from single freedom degree model of drilling bit-rock. The results of identification simulation and resonance column experiment show that relative error of natural frequency for some hard sand from identification simulation and resonance column experiment is 1.1% and the identification precision based on the fuzzy least squares-support vector machine is high.
展开▼
机译:La fonction des identifications “comme si” dans un cas de psychose masquée↓A fun??o das identifica??es “como se” em um caso de psicose mascarada↓La función de las identificaciones “como si” en un caso de psicosis enmascarada↓Die Funktion der ?als ob“ Identifikationen in einem Fall maskierter Psychose↓在一个掩蔽精神病的情况,“好象”的识别作用
机译:识别从糠疹糠疹患者中分离的马拉色菌酵母菌种鉴定马德里na pit pit pit pit vers vers vers vers vers ser ser ser sul sul sul sul sul sul Bras Bras Bras Bras Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification Identification