城市人工湿地的生态营建

本文结合实例介绍了城市人工湿地的一些基本概念,概括了生态人工湿地建设的主要途径、原则和程序,提出了人工湿地生态营建的重点,从而说明城市除要保护自然湿地外,还要通过积极的营建人工湿地,恢复、强化和发展城市的湿地网络,丰富城市生态系统。     

Wind tunnel modeling of hourly observed atmospheric diffusion by oscillating blade cascade

Horizontal plume spread increases greatly with averaging time. For hourly averaging, plume spreads are much greater in the horizontal direction than in the vertical. The ratio of horizontal to vertical spread was found to be as large as 6. Conventional method cannot reproduce such anisotropic diffusion characteristic in wind tunnel experiments. The author has developed an oscillating blade cascade as a solution to the problem. Since the blade cascade generates strong secondary flow in the test section, a horizontal wind fluctuation of more than 11° has been achieved, which is similar to the standard deviation of wind direction averaged over 1 h under neutral condition.Distributions of mean wind velocity, turbulence intensity, and spectral structures were also similar to those observed in the atmospheric boundary layer.Hourly-averaged plume spread in horizontal and vertical directions could be simulated in the wind tunnel on 1:5000 scale, with appropriate selection of random motion amplitude of the blade cascade and ground roughness arrangement. Thus, the oscillating blade cascade method is useful to model large-scale plume diffusion from a continuous source such as thermal power plant stacks.     

盾构施工引起地基变位的神经网络预测

通过分析盾构施工引起地基变位的影响因素,在盾构试掘进基础上,提出应用人工神经网络建立地层条件及施工参数与盾构施工引起周围地基变形之间的关系,并分析了人工神经网络技术应用于盾构隧道地表变形预报中的一些关键技术,为盾构法施工中人工神经网络的应用提出一些意见和建议。并对某一地铁工程中实测资料,应用简单的 BP 神经网络进行地表变形预测。     

带有偏差单元的IRN模型在深层搅拌桩承载力计算中的应用

对影响深层搅拌桩复合地基承载力的因素进行了分析 ,并对现行的设计方法存在的问题进行探讨 ,提出利用人工神经网络带有偏差单元的IRN(InternallyRecurrentNet)模型对复合地基承载力进行计算的新思路。通过实例验证 ,该模型可达到较好的效果 ,为今后深层搅拌桩承载力设计计算提供了可借鉴的方法。     

瑞雷波检测含块石人工填土强夯地基处理效果

从瑞雷波测试原理及测试方法出发，分析瑞雷波检测技术在强夯地基检测中的应用，并结合场地地基土情况，对强夯后人工填土的处理效果作出分析与评价。     

结构优化设计中神经网络方法的应用

指出了传统优化设计方法的不足 ,概述了人工神经网络的基本特征和学习规则 ,提出了结构优化问题的神经网络方法设计原理和步骤 ,综述了对神经网络在结构优化中的应用。最后 ,研究了神经优化计算下一步需解决的难题     

滑移隔震半主动控制的人工神经网络方法

基于人工神经网络方法,在考虑上部结构的刚度和阻尼的条件下,通过计算基底摩擦力的大小,对滑移隔震结构的半主动控制方法进行了研究。实例计算表明,通过半主动控制的滑移隔震结构不但具有较好的隔震效果,且能有效地减小基底的最大滑移量及残余位移。通过与Bang-Bang控制和瞬时最优控制算法的对比分析表明:基于人工神经网络控制算法的控制效果优于其它控制算法,具有反馈量少、稳健性强等特点。     

Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of blackfoot disease in Taiwan

The back-propagation (BP) artificial neural network (ANN) is applied to forecast the variation of the quality of groundwater in the blackfoot disease area in Taiwan. Three types of BP ANN models were established to evaluate their learning performance. Model A included five concentration parameters as input variables for seawater intrusion and three concentration parameters as input variables for arsenic pollutant, respectively, whereas models B and C used only one concentration parameter for each. Furthermore, model C used seasonal data from two seasons to train the ANN, whereas models A and C used only data from one season. The results indicate that model C outperforms models A and B. Model C can describe complex variation of groundwater quality and be used to perform reliable forecasting. Moreover, the number of hidden nodes does not significantly influence the performance of the ANN model in training or testing.     

游戏业界的过去、现在和未来——三大硬件厂商的高级制作人畅所欲言

——从红白机到NGC，任天堂领导了游戏业界约20年，所以，想问一下任天堂领导游戏业界的着眼点是什么？     

人工与自然的科学结合——体验巴塞罗那植物园

通过对巴塞罗那植物园规划理念、植物展示技术与手段及科学内涵的总结与分析,探讨当代富有特色的植物园景观规划方法,指出植物园的特色对其可持续发展的重要意义。