人工神经网络在岩体质量分级中的应用   总被引：13，自引：0，他引：13  

王彪  陈剑平  李钟旭  晁军 《世界地质》2004,23(1):64-68

结合四川省金沙江某水电站工程实例，应用BP人工神经网络方法建立3层BP网络模型，选取岩石单轴抗压强度等6个影响因素为输入变量，对坝基复杂岩体进行质量分级。通过机算机Visual C 语言编程实现神经网络模型，进行网络的学习和运算。以神经网络合理结构分析方法选取合理结构，确定合理隐层单元的数量，提高网络测试的精度。对测试结果的分析发现，经过优化的BP网络模型经多次学习后，测试精度提高，结果可靠，取得较好的实际应用效果。  相似文献   

人工土层冻结法加固在盾构出洞施工中的应用   总被引：10，自引：0，他引：10  

秦爱芳  李永和 《岩土力学》2004,25(Z2):449-452

软土地区盾构出洞施工中洞口土体易失稳、渗水,上海明珠线二期工程浦东大道站至张扬路站区间,隧道在盾构出洞施工中,为确保地面建筑及地下管线的安全及正常使用,首次采用了人工土层冻结加固,取得了良好的效果;本文介绍了该工程出洞口土体加固的方案选择、关键技术处理及实际取得的效果,并探讨了人工土层冻结加固在含水松软土层的地下工程中的应用前景.  相似文献   

GPS高程转换的神经元网络方法分析   总被引：9，自引：0，他引：9  

鲁铁定  周世键  张立亭  吕开云 《全球定位系统》2004,29(2):24-28

GPS高程转换是GPS高程应用的关键问题之一，试图应用神经元网络方法来进行GPS高程的转换，并在网络的拓扑结构与网络结构的改进等方面作了分析，通过GPS高程转换的二次曲面法和神经元网络法进行了比较试验，结果表明了神经元网络转换GPS高程的可行性和可靠性，对于应用神经网络转换GPS高程具有实际的指导意义。  相似文献   

汾河水库流域人工增雨可行性研究          下载免费PDF全文

孙鸿娉  李培仁  闫世明  孙国德  贺建中 《山西气象》2005,(4):40-43

本文通过对汾河流域40a气象、水文资料的分析,结合现阶段人工增雨技术的研究,以增加水库蓄水量为目的,设计科学可行的人工增雨方案,并对可能的投入和预期产生的效益进行分析研究,为通过人工增雨增加水库蓄水量提供科学依据。  相似文献   

广西南丹地区有色金属尾砂型人工矿床地质特征及其资源化     

陈志强苏亮  杨保疆 《地质找矿论丛》2005,20(8):139-144

广西南丹地区尾矿分布于大厂、车河、芒场等矿区。尾砂来自以锡石为主的多金属矿床，尾砂中除Sn，Pb，Zn，Ag，Sb的质量分数达到工业指标外，Au亦达到综合利用指标。通过试验证明，对尾矿中的细微粒锡石可采用风力分级选矿、磁选和化学选矿等方法回收；尾砂中的非金属资源可作为填充材料、水泥原料利用，使尾砂型人工矿床充分的资源化。  相似文献   

Simulation of urban expansion via integrating artificial neural network with Markov chain – cellular automata     

Tingting Xu  Jay Gao  Giovanni Coco 《International journal of geographical information science》2019,33(10):1960-1983

Accurate simulations and predictions of urban expansion are critical to manage urbanization and explicitly address the spatiotemporal trends and distributions of urban expansion. Cellular Automata integrated Markov Chain (CA-MC) is one of the most frequently used models for this purpose. However, the urban suitability index (USI) map produced from the conventional CA-MC is either affected by human bias or cannot accurately reflect the possible nonlinear relations between driving factors and urban expansion. To overcome these limitations, a machine learning model (Artificial Neural Network, ANN) was integrated with CA-MC instead of the commonly used Analytical Hierarchy Process (AHP) and Logistic Regression (LR) CA-MC models. The ANN was optimized to create the USI map and then integrated with CA-MC to spatially allocate urban expansion cells. The validated results of kappa and fuzzy kappa simulation indicate that ANN-CA-MC outperformed other variously coupled CA-MC modelling approaches. Based on the ANN-CA-MC model, the urban area in South Auckland is predicted to expand to 1340.55 ha in 2026 at the expense of non-urban areas, mostly grassland and open-bare land. Most of the future expansion will take place within the planned new urban growth zone.  相似文献   

一例异育银鲫(Carassius auratus gibelio)暴发性出血病病原分析     

袁雪梅  潘晓艺  郝贵杰  刘莉  吕孙建  蔺凌云  沈锦玉 《海洋与湖沼》2019,50(4):913-920

2016年6月,江苏某异育银鲫(Carassius auratus gibelio)养殖场暴发一种传染性急性出血病,造成养殖银鲫大量死亡。为分析此次疾病病因及流行规律,本研究从发病养殖场采集患出血病的异育银鲫,从细菌、病毒及寄生虫三个方面对病原进行了分析。采用病原菌分离、组织病理学观察、超薄切片电镜观察、病毒核酸分析、回感实验等对病原进行鉴定。结果显示从发病鲫鱼体内分离到病毒一株,未发现寄生虫及细菌感染。经测序及序列分析,该病毒为鲤疱疹病毒Ⅱ型(Cyprinid herpesvirus2,CyHV-2)病毒,组织病理学观察结果显示患病鱼的鳃和肾脏有明显病变,电镜下可观察到病鱼脾脏组织有带囊膜的球形病毒,囊膜直径约为170—200nm,病毒衣壳直径约为110—120nm,核心直径约为60nm,用组织匀浆感染鲫鱼囊胚细胞系(CGB)可稳定地观察到典型的细胞病变,用患病鱼组织匀浆液人工感染异育银鲫的死亡率高达100%,荧光定量PCR检测到该病毒可感染多器官,其中以脾脏中病毒含量最高,其次是脑,肝脏中最少。本研究可为CyHV-2的诊断防控及疫苗研制提供资料。  相似文献   

额河源流采金矿区不同恢复措施对矿区物种多样性和地上生物量的影响          下载免费PDF全文

许佳  祝晓瞳  苑塏烨 《干旱区地理》2019,42(3):581-589

以额河源流采金后废弃矿区为研究对象，于2011—2015年期间，通过采取不同恢复措施从被破坏矿区草地植物多样性和生物量的角度分析植被恢复效果。结果表明：（1）不同恢复措施促使各植物群落的物种数增加了5%～30%,说明采取恢复措施使得矿区生态环境得到了一定程度的恢复。（2）综合植被群落结构、盖度和地上生物量、物种多样性指数分析，措施A5（推平+圈羊）、A4（推平+补水）、A3（推平+覆土+黑加仑）较其他措施恢复效果更为显著。（3）通过对各样地植被丰富度指数（R）、Shannon Wiener指数(H′)、Simpson指数（D）、Pielou (Jsw)指数与地上生物量分别进行回归分析,发现指数曲线拟合关系最好。表明物种多样性与地上生物量均存在较显著的正相关关系(P <0.05)。本研究可为类似矿区的植被恢复与重建提供参考和借鉴。  相似文献   

Efficient estimation of flood forecast prediction intervals via single‐ and multi‐objective versions of the LUBE method          下载免费PDF全文

Lei Ye  Jianzhong Zhou  Hoshin V. Gupta  Hairong Zhang  Xiaofan Zeng  Lu Chen 《水文研究》2016,30(15):2703-2716

Prediction intervals (PIs) are commonly used to quantify the accuracy and precision of a forecast. However, traditional ways to construct PIs typically require strong assumptions about data distribution and involve a large computational burden. Here, we improve upon the recent proposed Lower Upper Bound Estimation method and extend it to a multi‐objective framework. The proposed methods are demonstrated using a real‐world flood forecasting case study for the upper Yangtze River Watershed. Results indicate that the proposed methods are able to efficiently construct appropriate PIs, while outperforming other methods including the widely used Generalized Likelihood Uncertainty Estimation approach. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District   总被引：2，自引：0，他引：2  

Jun Yang  Andong Guo  Yonghua Li  Yuqing Zhang  Xueming Li 《地理信息系统科学与遥感》2019,56(3):388-405

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.  相似文献