Thematic mapping from remotely sensed data with neural networks: MLP, RBF and PNN based approaches

 Neural networks are attractive tools for the derivation of thematic maps from remotely sensed data. Most attention has focused on the multilayer perceptron (MLP) network but other network types are available and have different properties that may sometimes be more appropriate for some applications. Here a MLP, radial basis function (RBF) and probabilistic neural network (PNN) were used to classify remotely sensed data of an agricultural site. The accuracy of these classifications ranged from 86.25–91.25%. The accuracy of the PNN classification could be increased through the incorporation of prior probabilities of class membership but the accuracy of each classification could also be degraded by the presence of an untrained class. Post-classification analyses, however, could be used to identify potentially misclassified cases, including those belonging to an untrained class, to increase accuracy. The effect of the post-classification analysis on the accuracy of the classification derived from each of the three network types investigated differed and it is suggested that network type be selected carefully to meet the requirements of the application in-hand. Received: 23 March 2000 / Accepted: 9 July 2000     

The development of computer networks: First results from a microeconomic model

 Computer networks like the Internet are gaining importance in social and economic life. The accelerating pace of the adoption of network technologies for business purposes is a rather recent phenomenon. Many applications are still in the early, sometimes even experimental, phase. Nevertheless, it seems to be certain that networks will change the socioeconomic structures we know today. This is the background for our special interest in the development of networks, in the role of spatial factors influencing the formation of networks, and consequences of networks on spatial structures, and in the role of externalities. This paper discusses a simple economic model – based on a microeconomic calculus – that incorporates the main factors that generate the growth of computer networks. The paper provides analytic results about the generation of computer networks. The paper discusses (1) under what conditions economic factors will initiate the process of network formation, (2) the relationship between individual and social evaluation, and (3) the efficiency of a network that is generated based on economic mechanisms. Received: 5 July 2000 / Accepted: 28 November 2000     

Forecasting Monsoon Precipitation Using Artificial Neural Networks

This paper explores the application of Artificial Intelligent (AI) techniques for climate forecast. It pres ents a study on modelling the monsoon precipitation forecast by means of Artificial Neural Networks (ANNs). Using the historical data of the total amount of summer rainfall over the Delta Area of Yangtze River in China, three ANNs models have been developed to forecast the monsoon precipitation in the corre sponding area one year, five-year, and ten-year forward respectively. Performances of the models have been validated using a ＇new＇ data set that has not been exposed to the models during the processes of model development and test. The experiment results are promising, indicating that the proposed ANNs models have good quality in terms of the accuracy, stability and generalisation ability.     

绥化电视发射塔工程场址地震基本烈度影响因素的探讨

采用同一地震带中两个不同潜在震源区的统计模型，讨论了当潜在震源区分方法不同时对场址基本烈度的影响。     

数字地震台实时处理软件的研制

本软件作为对北京港震机电技术公司软件系统的一个补充，在中文Windows下研制，适用于数字地震台进行数字地震信号实时连续接收和处理。软件的研制充分考虑了台站应用的特点和需求，引入完整的软件工程学理念，采用了面向对象（OOP）的分析设计方法和软件组件技术（COM）。     

陕西地区环境剪应力的分布特征

利用西安数字地震遥测台网记录的宽频带数字地震资料，测定了陕西地区环境剪应力值τ0的分布，结果显示陕西地区存在着环境剪应力值τ0的高值区，最后对其与地质构造和地震活动性之间的关系进行了探讨。     

山西临汾区域数字地震台的建设

介绍了临汾区域数字地震台的技术系统建设过程、技术构成及成果应用，并将其与同台基模拟观测系统进行了分析对比，结果表明其监测地震的能力以及处理地震的速度明显优于模拟观测系统，山西临汾区域数字地城台的建成将大大提高山西南部对震的快速响应能力。     

山西数字与模拟地震台网的资料对比研究

山西数字遥测地震台网于2000年10月1日投入考核运行，为使数字遥测地震台网与模拟地震台网测定的时、空、强地震参数顺利接轨，尽快发挥数字资料在日常工作中的效益，将山西数字遥测地震台网产出的资料与模拟地震台网产出的资料作了全面细致的对比分析，研究了它们之间的相关程度、一致性、差异性。结果表明，数字地震观测系统比模拟地震观测系统具有更高的拴震率，得出山西数字遥测地震台网产出的资料与模拟地震台网产出资料相关性较好、定位结果在误差范围之内、符合《数字地震及前兆观测技术规范》要求的结论。     

祁连-海原地震带中强地震序列类型分布及其应用

研究了1970年以来发生于祁连—海原地震带的18次中强地震序列特征，在此基础上确定了地震序列类型，研究了各种类型地震序列的分布规律．结果表明，该带的18次中强地震序列中有44%为主震型，56%为孤立型．西海固地区的中强地震序列一般为孤立型；101°～103.5°E范围内的祁连山中东段的中强地震序列一般为主震型；99°～101°E范围内的祁连山中段为孤立型和主震型序列并存；99°E以西的祁连山西段的中强地震序列为孤立型．将上述结果应用于2000年6月6日景泰MS5.9地震的震后趋势快速判定，判定结果与实际地震活动情况符合．     

长江中下游-南黄海地震带地震趋势研究

运用灰色理论对长江中下游－南黄海地震带从1971年开始的20世纪第2个地震活跃幕的结束时间进行了研究。结果表明，该次地震活跃幕的结束时间大约在2019年，还运用灰色理论对该地震带未来的地震形势进行了预测。所得结果可供华东地区地震大形势分析和地震的中期预报参考。