矿区采动断裂的稳定性评价

矿区优势断裂对地表岩移具明显的控制作用。采动断裂的稳定与否,不仅取决于开采区与断裂的距离和开采规模,更重要的在于采动断裂本身系列优势指标的大小,据此认识,用模糊数学方法对其稳定性进行了综合评价,得出了与实际相吻合的结论。      

航空影像的模糊增强方法

根据航空影像的灰度特性,选用像素的相对灰度等级作为模糊特征,采用模糊算法实现航空影像的模糊增强处理。实验表明,模糊算法较传统方法可取得更好的增强效果。     

基于粗糙集和遗传算法的超光谱波段集合整体缩减

提出一种对高光谱遥感影像波段集合进行整体缩减的方法。该方法首先根据模糊集和粗糙集理论,对原光谱波段集会进行近似等价波段区间的自动划分。对于每个近似等价波段区间,在考虑其他区间合成影像数据影响的情况下,利用遗传算法进行合成权系数的优化。实验表明,整体迭代线性合成方法不仅具有较高的计算效率,而且可以获得比独立线性合成方法明显优化的结果。     

Using computational intelligence techniques to model subglacial water systems

Measurements of water pressure beneath Trapridge Glacier, Yukon Territory, Canada show that the basal water system is highly heterogeneous. Three types of behaviour were recorded: pressure records which are strongly correlated, records which are strongly anticorrelated, and records which alternate between strong correlation and strong anticorrelation. We take the pressure in bore-holes that are connected to the evacuation route for basal water as the forcing, and the other pressures as the response to this forcing. Previous work (Murray and Clarke 1995) has shown that these relationships can be modelled using low-order nonlinear differential equations optimized by inversion. However, despite optimizing the model parameters we cannot be sure that the final model forms are themselves optimal. Computational intelligence techniques provide alternative methods for fitting models and are robust to missing or noisy data, applicable to non-smooth models, and attempt to derive optimal model forms as well as optimal model parameters. Four computational intelligence techniques have been used and the results compared with the more conventional mathematical model. These methods were genetic programming, artificial neural networks, fuzzy logic and self-organizing maps. We compare each technique and offer an evaluation of their suitability for modelling the pressure data. The evaluation criteria are threefold: (1) goodness of fit and an ability to predict subsequent data under different surface weather conditions; (2) interpretability, and the extent and significance of any new insights offered into the physics of the glacier; (3) computation time. The results suggest that the suitability of the computational intelligence techniques to model these data increases with the complexity of the system to be modelled.     

位置不确定性与属性不确定性的场模型

不确定性是自地理信息系统发展与应用以来一个引起关注的课题。位置不确定性与属性不确定常常不加区分地被看作是可以单个讨论的问题。本文将借助场的概念和模型使二者得以统一的描述和分析;对于明确定义的离散目标,二者虽然可分别讨论,但却在数学上有着联合的基础;对于非明确定义的地理现象,二者以连续体的形式而存在,位置不确定性可以作为属性不确定性的空间映射而提取出来。     

Analysis of reservoir water quality using fuzzy synthetic evaluation

A general methodology for fuzzy synthetic evaluation is developed and illustrated with a case study of trophic status assessment for Fei-Tsui Reservoir in Taiwan. The historical data base was collected from the management agency of Fei-Tsui Reservoir from 1987 to 1996. In fuzzy synthetic evaluation, the classification is determined by a matrix operation of the weighted vector with the fuzzy evaluation matrix. After all individual membership functions of evaluated factors have been determined, the fuzzy evaluation matrix can be established. The weighted vector is determined by the analytic hierarchy process method (AHP). The results of this investigation show that the long-term change of water quality and the overturn phenomena cannot be observed with the Carlson index from 1987 to 1992 but is expressed by fuzzy synthetic evaluation. Fuzzy synthetic evaluation is better suited than the Carlson index to rating the trophic status of self-sustaining lakes. Interpretation of the results can provide valuable information to decision makers and aid reservoir management.     

近海多功能混凝土平台选型与优化

提出了一种适合近海边际油田开发的多功能混凝土平台型式,并对其进行了优化设计.分析了各约束对平台造价的影响,确定了平台的应用范围.优化分析中采用了约束单调性分析、初始点自动给定等方法,加快了优化的迭代收敛速度,并对初稳性高度GM值采用了模糊优化方法,考虑了影响GM值的主观因素.     

中国南极长城站室内空气微生物含量七年前后的比较

中国南极长城站室内空气微生物含量的考察结果表明,七年后,虽然一些室内空气微生物含量有所下降,即空气质量有所改善,但总体来看,略是上升势。与友邻科考站相比,长城站的多少有点偏高。也比非南极的较高纬度的某些室内空气微生物含量高。结果意味着长城站尚有提高空气质量、改善环境状况的余地。     

湖泊水环境模糊数学评价模型及其在富营养化排序中的应用

本文根据模糊水文学关于水体“清洁”与“污染”之间无明确界面,在识别过程中具有模糊性的论点,提出湖泊水环境评价的模糊数学模型。应用此模型对我国12个湖泊富营养化污染状况进行排序,结果与实际相符,文中提出的评价模型,原则上也适用于其他环境领域的评价工作。     

Evaluation of nonlinear models for precipitation forecasting

Prediction of factors affecting water resources systems is important for their design and operation. In hydrology, wavelet analysis (WA) is known as a new method for time series analysis. In this study, WA was combined with an artificial neural network (ANN) for prediction of precipitation at Varayeneh station, western Iran. The results obtained were compared with the adaptive neural fuzzy inference system (ANFIS) and ANN. Moreover, data on relative humidity and temperature were employed in addition to rainfall data to examine their influence on precipitation forecasting. Overall, this study concluded that the hybrid WANN model outperformed the other models in the estimation of maxima and minima, and is the best at forecasting precipitation. Furthermore, training and transfer functions are recommended for similar studies of precipitation forecasting.