Use of Noise to Augment Training Data: A Neural Network Method of Mineral–Potential Mapping in Regions of Limited Known Deposit Examples

One of the main factors that affects the performance of MLP neural networks trained using the backpropagation algorithm in mineral-potential mapping isthe paucity of deposit relative to barren training patterns. To overcome this problem, random noise is added to the original training patterns in order to create additional synthetic deposit training data. Experiments on the effect of the number of deposits available for training in the Kalgoorlie Terrane orogenic gold province show that both the classification performance of a trained network and the quality of the resultant prospectivity map increasesignificantly with increased numbers of deposit patterns. Experiments are conducted to determine the optimum amount of noise using both uniform and normally distributed random noise. Through the addition of noise to the original deposit training data, the number of deposit training patterns is increased from approximately 50 to 1000. The percentage of correct classifications significantly improves for the independent test set as well as for deposit patterns in the test set. For example, using ±40% uniform random noise, the test-set classification performance increases from 67.9% and 68.0% to 72.8% and 77.1% (for test-set overall and test-set deposit patterns, respectively). Indices for the quality of the resultant prospectivity map, (i.e. D/A, D × (D/A), where D is the percentage of deposits and A is the percentage of the total area for the highest prospectivity map-class, and area under an ROC curve) also increase from 8.2, 105, 0.79 to 17.9, 226, 0.87, respectively. Increasing the size of the training-stop data set results in a further increase in classification performance to 73.5%, 77.4%, 14.7, 296, 0.87 for test-set overall and test-set deposit patterns, D/A, D × (D/A), and area under the ROC curve, respectively.     

饱和土一维简谐响应解析解的求解和应用：II 应用

将相关论文[1]中得到的饱和土一维简谐响应解析解，应用到饱和土中两类压缩波的独立作用、饱和土中波的传播速度、u-p方程的适用范围等研究中。在两类压缩波的独立作用研究中，克服了以前文献中的数学不严密性。研究了饱和土各参数对三种体波波速的影响。通过比较u-w和u-p方程的解答，定量地说明了u-p方程的适用范围。     

利用体波层析成像技术研究欧亚及邻区地幔三维速度结构

根据体波层析成像技术,利用大量走时数据,做出0°～180°E,30°S～90°S范围内0～2889km深的三维速度分布图像,得到欧亚地区局部区域岩石圈及地幔的高分辨率速度结构,并从地球动力学角度出发对这些成像结果做进一步解释。     

隧洞岩溶发育段灌浆检测实例

对于充填物为松散介质的溶洞灌浆检测,孔内声波法由于其能量限制效果较差,而孔内地震法能弥补其不足并在检测中发挥较好作用。本文以万家寨引黄入晋工程6#隧洞岩溶发育段灌浆检测为例,介绍了该方法的应用效果。     

反射波法基桩完整性检测中的一种信号处理方法

以纵向瞬态激振条件下桩的振动响应和桩中应力波传播理论为基础，利用二次快速傅立叶变换，将桩顶实测速度响应时程曲线的速度谱变换回时间域，得到速度反射因子，用以确定与桩身阻抗变化相关的主要频率成份，从而达到对桩身完整性进行快速而准确诊断的目的。应用分析表明，该方法简便可靠，特别适用于多重缺陷桩的检测。