Geoacoustic inversion using adaptive neuro-fuzzy inference system     

Satyanarayana Yegireddi  Arvind Kumar 《Computational Geosciences》2008,12(4):513-523

The geoacoustic parameters form significant input for underwater acoustic propagation studies and geoacoustic modeling. Conventional inversion techniques commonly used as indirect approach for extraction of geoacoustic parameters from acoustic or seismic data are computationally intensive and time-consuming. In the present study, we have tried to exploit the advantage of soft computing techniques like, reasoning ability of fuzzy logic and learning abilities of neural networks, in inversion studies. The network model based on the combined approach called adaptive neuro-fuzzy inference system (ANFIS), is found to be very promising in inversion of the acoustic data. The network model once built is capable of invert a few thousand data sets instantaneously, to a reasonably good accuracy. In the case of conventional approaches, repetition of the entire inversion process with each new data set is required. A limited number of sensor’s data are sufficient for simulation of the network model and provides an advantage to use short hydrophone array data. Inversion results of a few hundred test data sets, representing different geoacoustic environments, show the prediction error is much less than 0.01 g/cc, 10 m/s, 10 m and 0.1 against first layer’s density, compressional sound speed, thickness and attenuation respectively for a three-layer geoacoustic model. However, the error is relatively large for the second- and third-layer parameters, which need to be improved. The model is efficient, robust and inexpensive.  相似文献   

井间地震在济南市小冶睦里煤矿采空区勘查中的应用          下载免费PDF全文

宋津宇  白新飞  张晓彤  张军  徐蒙  于超  张松林  翟立民 《山东国土资源》2022,38(12)

以济南市章丘区小冶睦里地区石炭二叠纪含煤地层采空区为研究对象,采取资料收集、井间地震、钻探验证等方法手段,分析井间地震层析成像技术对采空区解译推断的有效性。结果表明,井间地震层析成像速度反演结果体现为高速分布的区域,推断为基岩完整区域;速度反演结果体现为低速分布的区域,推断为采煤采空区域。经与钻探工程比对,井间地震层析成像技术推断的采空区位置与钻探揭露深度较为吻合,表明井间地震层析成像技术在济南市章丘区小冶睦里煤矿采空区勘查中具有较高的可行性和实用性,为该地区同类型的采空区勘查提供了参考依据。  相似文献   

地下水污染源识别的数学方法研究进展   总被引：3，自引：0，他引：3       下载免费PDF全文

王景瑞  胡立堂 《水科学进展》2017,28(6):943-952

地下水污染源识别模型可利用有限的观测资料估计污染源位置、污染物泄露强度及其泄露过程,是制定地下水污染修复方案的依据。在阐明地下水污染源识别基本问题基础上,综述了污染源识别研究的两大类数学方法,一类为直接方法,包括反向追踪法和基于正则化的方法;另一类为间接方法,包括基于优化的方法和基于概率统计的方法。同时指出了当前污染源识别数学方法应用中存在的主要问题:地下水污染源识别问题的复杂性、地下水有机污染问题和模型求解效率的低下性。对土壤-地下水的联合管理、基于物联网的地下水污染监测、对非水相流体（Non-aqueous Phase Liquid,NAPL）类污染源识别以及基于图形处理器（GPU）的异构并行计算将是未来研究的重点方向。  相似文献   

Stochastic inversion for the roll gyradius second moment mass property in ships at full-scale and model-scale     

《Applied Ocean Research》2017

In current Naval Architecture practice, employing static considerations is an important and necessary step in assessing ship stability and seakeeping properties (e.g. inclining experiments, load line regulations, range of stability calculations). However, damaged vessels and vessels operating in heavy weather or in conditions where topside icing is a concern may require an additional assessment of stability that considers dynamic effects. Within such contexts, the actual (i.e. current) second moment properties of the vessel mass become very important in the associated equations of motion for a given ship. One such critical second mass moment property is the roll gyradius, as it is closely related to the occurrence of capsizing. The present paper furnishes a means for reckoning the actual roll gyradius of a given ship operating within a seaway. The approach hinges on the formulation and solution of a stochastic inverse problem that leverages existing seakeeping software against the shipboard inertial measurement unit (IMU) telemetry. The method is demonstrated at full-scale and validated at model scale.  相似文献   

高灵敏度磁力仪在寻找坠落飞机残骸中的应用   总被引：1，自引：1，他引：0  

何敬礼 《物探与化探》1999,23(6):470-473

介绍利用高灵敏度磁力仪寻找深埋于地下的失事飞机发动机残骸的效果  相似文献   

污染分布的逼近及应用   总被引：3，自引：1，他引：2  

杨元喜  柴洪洲  宋力杰 《测绘学报》1999,28(3):209-214

污染分布是抗差估计的基础。本文试图从观测值残差入手,首先逼近各观测值方差,进而由方差的变化逼近污染正态分布密度。逼近的基本思想是：将异常观测值的方差扩大。文中构造了方差膨胀函数。基于方差膨胀的污染正态分布,可由最小二乘估计获得模型参数的抗差估计解;并由方差传播定律及Ｂａｙｅｓ推断理论解算参数的验后方差－协方差及置信区间。文中给出了一个算例。  相似文献   

气象要素在电力负荷预测中的应用   总被引：11，自引：1，他引：10  

罗慧  巢清尘  李奇  刘安麟  顾润源 《气象》2005,31(6):15-18

综合应用人工神经网络、模糊理论等智能技术,着重考虑天气因素对电力负荷的影响,确定了一种有效的电力系统短期负荷预测方法。并应用陕西省9个地市1998-2001年的逐日8个气象要素以及对应的逐日电力负荷值,对陕西省电力负荷进行训练和预测。研究结果证明这种方法能较大地提高日负荷预测的精度。  相似文献   

新型自适应滤波算法在惯导/双星组合中的应用     

赵龙  李铁军  陈璞 《全球定位系统》2010,35(6):1-6

在系统模型误差和噪声统计特性未知时,为防止滤波发散和提高系统的实时性,提出了一种模糊自适应Kalman滤波算法。该算法利用滤波异常判据获得一个滤波状态因子,进而利用模糊推理系统在线调整量测噪声协方差阵的值,使滤波实现自适应。将该算法应用到惯导/双星组合导航系统中,并和简化的Sage-Husa自适应滤波算法进行仿真比较。仿真结果表明：在滤波精度相当的情况下,该算法简化了运算,提高了实时性。  相似文献