宽成分谱系岩墙群的岩石成因及其构造与成矿意义     

黑慧欣  罗照华  李德东  潘颖  杨宗锋  周久龙 《地质通报》2015,34(203):229-250

在综述国际上为数不多的宽谱系岩墙群（WSDS）研究实例的基础上,以太行山板内造山带中的岩基后岩墙群为例,详细论证了WSDS的形成机制,并简要讨论其构造与成矿意义。研究认为,①WSDS是一类非常特殊的岩石组合,其岩石组成的多样性主要取决于岩浆起源,因而不同于已知的其他火成岩组合;②WSDS直接的构造指向是造山带岩石圈拆沉作用;③WSDS的产生必须有大规模流体活动的参与,因而是成矿作用的指示器;④岩浆系统是一种复杂性动力系统。在理想系统的框架下,由WSDS识别出的许多成因信息是相矛盾的。但是,在复杂系统的框架下,这些信息可以得到整合解释;⑤板内造山作用是一种特殊类型的造山作用,与板缘构造力没有直接的联系。WSDS同样适用于板内与板缘2种造山类型,具有普适性,都与岩石圈加厚拆沉有关。  相似文献   

粒子群神经网络及其在非线性系统辨识中的应用     

佘远俊  张翠芳  鄢田云 《成都信息工程学院学报》2006,21(2):244-246

介绍了一种新的神经网络权值优化算法——粒子群优（Particle Swarm Optimization，PSO）算法，提出了用粒子群神经网络对非线性系统进行系统辨识的构思。仿真实验结果表明，粒子群算法具有比BP算法更强的非线性系统辨识能力和更好的泛化能力。  相似文献   

Syntectonic emplacement of the Middle Jurassic Concón Mafic Dike Swarm, Coastal Range, central Chile (33° S)     

Christian Creixell  Miguel ngel Parada  Pierrick Roperch  Diego Morata  Csar Arriagada  Carlos Prez de Arce 《Tectonophysics》2006,425(1-4):101-122

The Concón Mafic Dike Swarm (CMDS) consists of basaltic to andesitic dikes emplaced into deformed Late Paleozoic granitoids during the development of the Jurassic arc of central Chile. The dikes are divided into an early group of thick dikes (5–12 m) and a late group of thin dikes (0.5–3 m). Two new amphibole ⁴⁰Ar/³⁹Ar dates obtained from undeformed and deformed dikes, constrain the age of emplacement and deformation of the CMDS between 163 and 157 Ma. Based on radiometric ages, field observations, AMS studies and petrographic data, we conclude that the emplacement of the CMDS was syntectonic with the Jurassic arc extension and associated with sinistral displacements along the NW-trending structures that host the CMDS. The common occurrence of already deformed and rotated xenoliths in the dikes indicates that deformation in the granitoids started previously.The early thick dikes and country rocks appear to have been remagnetized during the exhumation of deep-seated coastal rocks in the Early Cretaceous (around 100 Ma). The remanent magnetization in late thin dikes is mainly retained by small amounts of low-Ti magnetite at high temperature and pyrrhotite at low temperature. The magnetization in these dikes appears to be primary in origin. Paleomagnetic results from the thin dikes also indicate that the whole area was tilted  23° to the NNW during cooling of the CMDS.The NNW–SSE extension vectors deduced from the paleomagnetic data and internal fabric of dikes are different with respect to extension direction deduced for the Middle–Late Jurassic of northern Chile, pointing to major heterogeneities along the margin of the overriding plate during the Mesozoic or differences in the mechanisms driving extension during such period.  相似文献   

Swarm intelligence-based solver for parameter estimation of laboratory through-diffusion transport of contaminants     

Tadikonda Venkata Bharat  Puvvadi V. SivapullaiahMehter M. Allam 《Computers and Geotechnics》2009

Theoretical approaches are of fundamental importance to predict the potential impact of waste disposal facilities on ground water contamination. Appropriate design parameters are generally estimated by fitting theoretical models to data gathered from field monitoring or laboratory experiments. Transient through-diffusion tests are generally conducted in the laboratory to estimate the mass transport parameters of the proposed barrier material. These parameters are usually estimated either by approximate eye-fitting calibration or by combining the solution of the direct problem with any available gradient-based techniques. In this work, an automated, gradient-free solver is developed to estimate the mass transport parameters of a transient through-diffusion model. The proposed inverse model uses a particle swarm optimization (PSO) algorithm that is based on the social behavior of animals searching for food sources. The finite difference numerical solution of the forward model is integrated with the PSO algorithm to solve the inverse problem of parameter estimation. The working principle of the new solver is demonstrated and mass transport parameters are estimated from laboratory through-diffusion experimental data. An inverse model based on the standard gradient-based technique is formulated to compare with the proposed solver. A detailed comparative study is carried out between conventional methods and the proposed solver. The present automated technique is found to be very efficient and robust. The mass transport parameters are obtained with great precision.  相似文献   

辽宁盖州震群剪切波分裂参数的时间演化特征     

夏彩韵  焦明若  刘庚  杨士超 《地震地磁观测与研究》2021,42(2):174-175

  相似文献   

基于粒子群算法优化小波支持向量机的岩土力学参数反演     

阮永芬  高春钦  刘克文  贾荣谷  丁海涛 《岩土力学》2019,(9):3662-3669

常用的确定岩土力学参数的方法有原位测试和室内试验两种,但都存在一定的局限性,参数选择的合理与否,对设计计算及数值模拟分析结果的有效性影响很大。支持向量机法在理论基础和求解算法方面都具有明显优势,为确保岩土力学参数取值的合理性,采用支持向量机法对岩土力学参数进行反演。先通过小波分析理论构造出支持向量机的核函数,再用粒子群算法(PSO)分别优化Morlet小波、Mexico小波和RBF函数的支持向量机模型参数,通过小波支持向量机模型建立反演参数与沉降值间的非线性映射关系。根据正交试验和均匀试验对需反演的岩土力学参数进行设计,结合有限元软件进行计算分析,得到学习样本和测试样本。分别采用Morlet小波、Mexico小波和RBF函数得出的预测结果和原始数据进行对比分析,发现采用Morlet小波核函数预测效果更佳。使用Morlet小波核函数预测的参数输入到Midas模型中计算建筑物最终沉降量,比较计算值与实际监测值,其相对误差不超过8.1%。研究结果表明,该方法在岩土工程参数的反演中具有良好的应用价值,对今后岩土力学参数的确定及校核提供了一种新方法。  相似文献   

Application of PSO-LIBSVM in Recognition of Potassium Salt Deposits     

Fuqiang Yang  Kegui Chen  Changbing Huang  Yuanyuan Chen  Jin Li  Xiaolin Ma 《地球科学进展》2019,34(7):757-764

The shortage of potassium salt seriously restricts the development of China's agriculture. Increasing the exploration and development of potash will help improve the self-sufficiency of potassium in China. With rich potassium salt resources, Sichuan basin is one of the most important research areas for potash exploration and development in China. Polyhalite is an important solid potassium salt mineral in Sichuan basin, often intercalated in rock minerals such as anhydrite, rock salt and dolomite. Aiming at the problem that conventional log interpretation methods are difficult to accurately identify polyhalites, this paper proposed a new Support Vector Machine (SVM) recognition method based on Particle Swarm Optimization (PSO) to classify polyhalites in Sichuan basin. Based on particle swarm optimization and support vector machine theory, combined with logging interpretation theory, the effective data sensitive to polyhalite logging response were selected as input samples to generate training sets and test sets randomly. The Radial Basis Function (RBF) parameters were optimized by particle swarm optimization, and the classification and prediction model of polyhalite was established. Compared with mud logging results, the recognition accuracy of SVM model based on particle swarm optimization reached 97.5758%, which is obviously better than that of SVM model optimized by cross validation method in recognition accuracy and speed. The results show that the model has broad application prospects in potash exploration in Sichuan basin.  相似文献   

多面函数参数自适应选取方法在GPS高程拟合中的应用     

谭江涛  王章朋  钟波  丁剑 《大地测量与地球动力学》2020,40(8):832-837

提出一种综合的多面函数参数自适应选取方法。该方法利用核函数阶数和平滑因子存在最优值以及核函数结点分布应符合高程异常变化趋势的特点,综合利用正交化算法选取核函数结点以及二维粒子群算法确定最佳阶数和平滑因子,实现多面函数参数的完全自适应选取。将该方法应用于地形起伏差异不同的2个测区,结果表明,相比传统经验性方法和部分参数自适应方法,该方法用于GPS高程拟合的精度和可靠性更高。  相似文献   

Optimal rural land use allocation in central China: Linking the effect of spatiotemporal patterns and policy interventions     

《Applied geography (Sevenoaks, England)》2017

Rural land use development is experiencing a transition stage of socioeconomic and land use development in China. Historic land use transition process and policy interventions have key influence on the applicability of land use allocation solutions in future land use management. Strategic land use allocation is therefore required to possess a good adjustment capability to the transition process. Although heuristic optimization methods have been promising to solve land use allocation problems, most of them ignored the spatially explicit effect of historic land use transition and policies. To help resolve this issue, this study aims to optimize future land use pattern in the context of rural land use development. We took Yunmeng County, one of the typical major grain producing and rapidly urbanizing areas in central China, as a case study and solved the sustainable land use allocation problem by using an improved heuristic optimization model. The model was constructed based on the integration of a spatial discrete particle swarm optimization and cellular automata-Markov simulation approach. The spatiotemporal land use patterns and policy interventions were represented by the CA-Markov as in spatially explicit transition rules, and then incorporated into the discrete PSO for optimal land use solutions. We examined the influence of the joint effect of spatiotemporal land use patterns and policy interventions on the land use allocation outcome. Our results demonstrate the robustness and potential of the proposed model, and, more importantly, indicate the significance of incorporating the spatiotemporal land use patterns and policy interventions into rural land use allocation.  相似文献   

基于BPSO-NBayes的雷暴释用预报技术研究   总被引：1，自引：1，他引：0  

刘亚杰  胡邦辉  王学忠  王举  黄泓 《气象科学》2018,38(3):370-377

提出了一种新的雷暴预报法,即二进制粒子群-朴素贝叶斯分类器(Binary Particle Swarm Optimization-Naive Bayesian Classifiers,BPSO-NBayes)方法,以福州、连城、宁波3站为例,对使用T511数值预报产品站点的雷暴释用预报技术进行研究。利用2010—2014年T511数值预报产品和单站观测资料,使用BPSO-NBayes方法,建立了0~72 h雷暴预报模型,并与Fisher判别准则和Bayes判别准则进行比较。预报结果表明,BPSO-NBayes模型临界成功指数都在0.29以上,平均值达到0.33以上,是3种方法中最好的,空报率都在0.59以下,漏报率在0.60以下,而且变化幅度很小。BPSO-NBayes模型明显优于Fisher判别准则和Bayes判别准则,具有良好的稳定性和预报能力。  相似文献