基于引力模型的城市空间互相关和功率谱分析——引力模型的理论证明、函数推广及应用实例   总被引：53，自引：7，他引：53  

陈彦光  刘继生 《地理研究》2002,21(6):742-752

空间相互作用是先于城市体系而存在的重要概念 ,引力模型是描述空间相互作用的基本函数之一 ,但引力模型的理论基础不明确而且实际应用有局限。本文首先从城市地理系统的广义分形假设出发 ,推导出引力模型的幂函数形式 ,使其从一个经验模型上升为理论模型 ;进而引入时变函数和时滞参数将引力模型推广为更为一般和更加实用的形式 ,为发展城市引力过程的空间互相关分析和功率谱分析方法奠定了理论基础。借助 194 9～ 1998年 5 0年的人口演化数据 ,以北京 -天津的空间相互作用为实例 ,对基于城市引力关系的空间作用进行了相关分析和波谱分析 ,从而提供了城市网络空间相互作用广义引力分析的典型范例。  相似文献   

珠江三角洲地区一体化交通运输网络发展构想   总被引：4，自引：0，他引：4  

周平德 《热带地理》2002,22(4):299-303

从区域经济一体化角度分析了珠江三角洲经济区交通运输的现状、问题和发展趋势，提出了建设一体化交通运输网络的基本思路和总体构想。认为珠三角交通运输设施虽然种类齐全且发展迅速，但还存在数量、质量、结构、布局等方面与区域经济一体化和未来发展趋势不相适应的问题；为了促进区域经济一体化，交通运输应从被动适应变为主动发展并引导城镇体系和生产力布局，从注重设施数量变为强调设施质量并向高速高效型发展；应该分4个层次建设3个枢纽和3大组团并与大运量快速干线相连接，构建区域一体化的交通运输网络。  相似文献   

基于神经网络的单元自动机CA及真实和忧化的城市模拟   总被引：6，自引：0，他引：6  

黎夏  叶嘉安 《地理学报》2002,(2)

提出了一种基于神经网络的单元自动机（ＣＡ）。ＣＡ已被越来越多地应用在城市及其它地理现象的模拟中。ＣＡ模拟所碰到的最大问题是如何确定模型的结构和参数。模拟真实的城市涉及到使用许多空间变量和参数。当模型较复杂时，很难确定模型的参数值。本模型的结构较简单，模型的参数能通过对神经网络的训练来自动获取。分析表明，所提出的方法能获得更高的模拟精度，并能大大缩短寻找参数所需要的时间。通过筛选训练数据，本模型还可以进行优化的城市模拟，为城市规划提供参考依据。  相似文献   

A study on the early-warning technique concerning debris flow disasters     

ZHOU Jinxing  Wang Lixian  XIE Baoyuan  FEI Shimin  Wang Xilin 《地理学报(英文版)》2002,12(3)

According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward. The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified. The key techniques of building the debris flow disaster neural network (NN)real time forecasting model are given detailed explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters, which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day, the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware are applied, which makes the system′s performance steady with good expansibility. The system is a visual information system that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention.  相似文献   

Sensitivity Analysis of a Feedforward Neural Network for Considering Genetic Mechanisms of Kuroko Deposits     

Matsuda  Setsuro  Koike  Katsuaki 《Natural Resources Research》2003,12(4):291-301

Exploration for volcanogenic massive sulfide deposits of the kuroko-type is underway in many places. Clarifying the spatial patterns of the metals in kuroko deposits will be useful for understanding their genetic mechanisms and for future exploration of such types of deposits. This study represents a spatial distribution analysis on the contents of principal metals of kuroko deposits: Cu, Pb, and Zn, in the Hokuroku district, northern Japan, by a feedforward neural network and 1917 sample data at 143 drillhole sites. The network, which consists of three layers, was trained by the principle of SLANS in which the numbers of neurons in the middle layer and training data are changed to improve estimation accuracy. Using the weight coefficients connecting adjacent neurons, sensitivity analysis of the neural network was carried out to identify factors influencing spatial distributions of the three metals. The coordinates depth (z) direction, Bouguer gravity, and specific lithology such as dacite were determined to be influencing factors. The high frequency of the z coordinate signifies that the metal contents differ to a large extent by depth. The sensitivity vector was defined using sensitivity coefficients for x, y, and z coordinates of an estimation point. We determined that the directions of large vectors were different inside and outside of the Hanawa-Ohdate area. This characteristic is considered to originate from the differences in the permeability of fractures that became the paths for rising ore solutions, and the depths that the solutions mixed with sea water.  相似文献   

红板岩材料隐式本构模型的建立及其应用研究     

邹光华  朱建明 《工程地质学报》2003,11(3):258-262

针对红板岩材料在岩土工程中所表现的大量模糊的和不确定的因素等特点,基于人工神经网络的学习能力,借助于室内岩石力学试验,进行了对该材料的力学本构特性进行了神经网络模拟研究,提出了隐式本构模型的思想和方法,并通过该方法对该岩石的流变试验结果进行学习,获得了以网络权值结构保存的力学特性知识,由此得到了表征红板岩应力应变本构关系的隐式本构模型。应用结果表明,该方法对岩土类材料本构关系的模拟研究具有很好的应用前景。  相似文献   

神经网络技术在地面沉降区划中的应用研究   总被引：1，自引：2，他引：1  

武建强  余勤 《江苏地质》2003,27(3):171-174

复杂的第四系沉积环境构成地面沉降的地质背景，在对比分析第四系厚度、地下水位、含水层以及软土层发育程度的基础上，尝试性地运用人工神经网络技术对苏锡常地区地面沉降易发区进行识别。除基岩出露区外全区共被划分成4类块段，这种分布与第四系条件具有很强的空间相关性，经检验具有较高的可信度。  相似文献   

湖泊水下数字高程模型建模方法及应用模型     

邓雪清  张永生  李波  班业胜 《华东地质学院学报》2003,26(2):192-196

介绍了当前湖泊水下地形测量的一般方法和作业过程。针对逐点插入构建不规则三角网算法，本文提出了效率改正算法和格网索引号快速计算算法。基于不规则三角网，给出了湖泊水下数字高程模型的一般应用模型——任意点高程计算、填挖方计算模型及等深线计算模型。  相似文献   

福建强震台网数据记录系统简介     

廖诗荣  陈绯雯 《福建地震》2003,(1)

本文概要介绍了强震仪主要技术参数、强震台网计算机系统及强震记录情况。  相似文献   

基坑支护结构水平变形预测的遗传神经网络方法   总被引：2，自引：2，他引：2  

韦立德  徐卫亚  蒋中明  刘世君  陈记 《工程地质学报》2003,11(3):297-301

采用遗传算法和误差反向传播算法相结合的混合算法来训练前馈人工神经网络,先用遗传学习算法进行全局训练,再用BP算法进行精确训练。就遗传算法过程中的选择、变异进行了探索,提出了用BP网络训练产生变异的遗传算法。作为实例,将该方法应用于预测基坑支护结构水平变形中。结果表明,该方法有收敛速度较快、预测精度高等优点。  相似文献