区域群发性滑坡灾害概率预报系统

根据覆盖浙江全部陆地区域数年降雨量数据,在同时期内有明确日期、位置记录的609处滑坡(泥石流)灾害数据,通过对地质、土壤、土地利用类型、人文等资料的综合分析,研制了集GIS与ANN于一体的区域群发性滑坡灾害概率预报系统(LAPS)。该系统可以通过宽带网络与气象、水文观测等有关部门相连接,在雨季根据雨量观测站的实时观测数据和降雨预报,对全省区域范围内滑坡灾害发生概率进行快速评价,实现对灾害发生的空间范围、强度及其分布概率的实时预警预报,具有维护方便、操作简单、可视化强等特点,可以作为其它滑坡易发地区的预报系统原型。     

基于计算智能的土地适宜性评价模型

将计算智能理论引入土地评价领域，构建了一个全新的土地适宜性评价模型。首先基于模糊逻辑和人工神经网络构造了一个模糊神经网络模型，然后采用改进的遗传算法进行训练，能够快速收敛到最优解，对初始的规则库进行修正，形成了一个自学习、自适应的评价系统。     

Modelling local GPS/levelling geoid undulations using artificial neural networks

The use of GPS for establishing height control in an area where levelling data are available can involve the so-called GPS/levelling technique. Modelling of the GPS/levelling geoid undulations has usually been carried out using polynomial surface fitting, least-squares collocation (LSC) and finite-element methods. Artificial neural networks (ANNs) have recently been used for many investigations, and proven to be effective in solving complex problems represented by noisy and missing data. In this study, a feed-forward ANN structure, learning the characteristics of the training data through the back-propagation algorithm, is employed to model the local GPS/levelling geoid surface. The GPS/levelling geoid undulations for Istanbul, Turkey, were estimated from GPS and precise levelling measurements obtained during a field study in the period 1998–99. The results are compared to those produced by two well-known conventional methods, namely polynomial fitting and LSC, in terms of root mean square error (RMSE) that ranged from 3.97 to 5.73 cm. The results show that ANNs can produce results that are comparable to polynomial fitting and LSC. The main advantage of the ANN-based surfaces seems to be the low deviations from the GPS/levelling data surface, which is particularly important for distorted levelling networks.     

江西省BL-1型火箭增雨作业技术方法研究

在对BL-1型增雨火箭特性进行分析的基础上。结合江西全年增雨作业的特点，对BL-1型火箭的人工增雨作业技术进行了分析研究。旨在提高一线火箭作业人员的业务技术，进而提高人工增雨作业的成功率和降水效率。     

人工神经网络与符号推理在江淮气旋预报中的应用研究

本文通过对符号推理及神经网络系统的剖析，实现了神经网络与符号推理的有机结合，并成功地运用到天气预报中去。提出了一种新的，充分利用预报经验，数值预报产品及计算机计算能力的预报方法。     

神经网络技术在地震资料构造解释中的应用

将神经网络技术用于煤田地震勘探领域，对两个矿区的实际资料进行断层检测及煤层宏观结构的解释，提高了地震资料构造解释的水平和精度。     

Comparison of long–term forecasting of June–August rainfall over changjiang–huaihe valley

In terms of an Artificial Neural Network (ANN) established is a long-term prediction model for June-August flood / drought in the Changjiang-Huaihe Basins and a regression forecasting expression is formulated with the aid of the same factors and sample size for comparison. Results show that the ANN is superior in predictions and fittings due to its higher self-adaptive learning recognition and nonlinear mapping especially in the years of severe flood and drought. This shows great promise in using ANN in the research of flood / drought prediction on a long-range basis     

干振——水冲法碎石桩施工工艺及其应用

分析了干振法与振冲法碎石桩施工工艺的优势，提出一种新的碎石桩施工工艺－－干振水冲洗，并从理论上进行了论证，结合施工实例进行了验证。     

专家系统与智能系统

为使专家系统技术尽早在地学领域取得突破，应该研制智能系统。在人机交换系统中加入智能模块，管理调度各功能模块，即实现人机交互系统到智能系统的升级。将专家系统、骨架系统加以扩充，增加与数据库管理系统、科学计算等功能子系统的接口，即成为一个研制智能系统的工具—智能骨架系统。文末描述了一个智能骨架系统—ＳＧＥＳ的结构和用法