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.

菊科莴苣亚族黑苞毛鳞菊及其泛喜马拉雅地区相近种的分类杂记（英文）

基于已有标本的详细研究和文献的追踪,证实黑苞毛鳞菊(或黑苞乳苣)在中国没有分布,国内相关文献上的该物种实际应为后期发表的青海乳苣,现已处理为青海毛鳞菊,并首次报道不丹有分布。青海毛鳞菊的瘦果形态和花药管长度明显异于黑苞毛鳞菊。作为标本稀有的云南特有种,单头乳苣近期被暂时处理为黑苞毛鳞菊的异名,但本研究支持其作为一个独立种且与大花毛鳞菊复合群关系较近。对于巴基斯坦北部和克什米尔地区近期发表的与黑苞毛鳞菊形态相近的两个新种,Cicerbita alii被证实为独立种且新组合到毛鳞菊属,而C.astorensis被处理为黑苞毛鳞菊的异名。