基于BP神经网络的智能入侵检测系统

介绍了BP神经网络的基本知识，设计了基于BP神经网络的智能入侵检测系统。并提出了根据不同的网络协议使用不同神经网络的思想，指出了每个神经网络需要的网络数据，并阐述了训练和测试神经网络的方法。     

多源大数据支持的土地储备智能决策模型集研究

伴随着城镇化的快速推进,城乡建设用地资源日益紧张,但目前土地储备决策缺乏精准科学依据,无法有效地进行资源配置和宏观调控。针对此问题,本文深入剖析土地储备基本业务与决策环节,研究了一套面向土地储备的智能决策模型集,包括存量土地监测模型、收储成本预测模型、出让价格预测模型、储备平衡分析模型、相似地块分析模型、开发时序分析模型及病态地块识别模型,旨在将土地储备决策环节科学化、定量化和模型化,并重点为土地储备总量、效益、规模、结构、布局、时序的统筹安排提供建议。另外,该模型集具有体系化、高效灵活、智能化的特点,能够服务于储备业务全链条,满足即时决策应用需求和实现模型自主更新与进化,保证模型的时效性。最后,该模型集已经工程化应用于宁波市土地储备智能决策支持平台,实践验证了以上决策模型具有较高的准确度和实用性,表明模型集能够为土地储备的科学决策提供理论依据,有利于土地资源的集约利用和高效配置。     

Galactic gradients, postbiological evolution and the apparent failure of SETI

Motivated by recent developments impacting our view of Fermi’s Paradox (the absence of extraterrestrials and their manifestations from our past light cone), we suggest a reassessment of the problem itself, as well as of strategies employed by the various SETI projects so far. The need for such reassessment is fueled not only by the failure of SETI thus far, but also by great advances recently made in astrophysics, astrobiology, computer science and future studies. As a result, we consider the effects of the observed metallicity and temperature gradients in the Milky Way galaxy on the spatial distribution of hypothetical advanced extraterrestrial intelligent communities. While properties of such communities and their sociological and technological preferences are, obviously, unknown at present, we assume that (1) they operate in agreement with the known laws of physics and (2) at some point in their history they typically become motivated by a meta-principle embodying the central role of information-processing; a prototype of the latter is the recently suggested Intelligence Principle of Steven J. Dick. There are specific conclusions of practical interest to astrobiological and SETI endeavors to be drawn from the coupling of these reasonable assumptions with the astrophysical and astrochemical structure of the spiral disk of our galaxy. In particular, we suggest that the outer regions of the Galactic disk are the most likely locations for advanced SETI targets, and that sophisticated intelligent communities will tend to migrate outward through the Galaxy as their capacities of information-processing increase, for both thermodynamical and astrochemical reasons. However, the outward movement is limited by the decrease in matter density in the outer Milky Way. This can also be regarded as a possible generalization of the galactic habitable zone (GHZ), concept currently being investigated in astrobiology.     

地图集:重构复杂非线性地理世界的“百科全书”

地图学是一门经过数千年的演进发展形成的科学,地图(地图集)是地图科学研究的主阵地,是任何时代和社会都不可或缺的,对人们的工作、学习和生活具有重要作用和意义。首先,简要论述了地图学作为一门科学的社会实践和科学实践的演进发展规律,以及地图集的特点;然后,从哲学角度分析与论述了地图是怎样重构复杂非线性地理世界的(实现由"地理世界"到"地图世界"的转变),人们是怎样利用地图进一步认识复杂非线性地理世界的(实现由"地图世界"到"地理世界"的转变),提出了基于传感器网络的由"感知的地理世界"到"重构的地理世界"再到"认知的地理世界"、指导行动并反馈信息的"双向"转变的认知模式;最后,论述了地图集作为重构复杂非线性地理世界的"百科全书"的作用,举例说明了中国改革开放以来地图集的快速发展和水平的大幅提升,并阐明人工智能时代中国地图集成果将比以往任何时候都更加兴旺发达,地图集作为人们进一步认知复杂非线性地理世界的"百科全书"的功能作用将比以往任何时候都更加强大。     

Use of Gene Expression Programming in regionalization of flow duration curve

In this paper, a recently introduced artificial intelligence technique known as Gene Expression Programming (GEP) has been employed to perform symbolic regression for developing a parametric scheme of flow duration curve (FDC) regionalization, to relate selected FDC characteristics to catchment characteristics. Stream flow records of selected catchments located in the Auckland Region of New Zealand were used. FDCs of the selected catchments were normalised by dividing the ordinates by their median value. Input for the symbolic regression analysis using GEP was (a) selected characteristics of normalised FDCs; and (b) 26 catchment characteristics related to climate, morphology, soil properties and land cover properties obtained using the observed data and GIS analysis. Our study showed that application of this artificial intelligence technique expedites the selection of a set of the most relevant independent variables out of a large set, because these are automatically selected through the GEP process. Values of the FDC characteristics obtained from the developed relationships have high correlations with the observed values.     

增强现实地图研究与应用

随着数字地图技术的不断革新,产生了将虚拟信息与真实世界融合的新型地图技术,即增强现实(augmented reality,AR)地图。从可视化、定位、测绘、分析几个方面阐述了AR地图的关键技术,介绍了AR地图的空间映射原理和可视化效果,提出了结合视觉定位和惯导定位的cm级室内定位方法,实现了基于AR地图的AR导航、AR测量、AR目标采集、AR地理围栏等关键技术并将其应用于AR智慧园区与AR室内场馆。     

地理空间情报预测分析的一种方法

地理空间情报是对影像和地理空间信息的发掘和分析。其中,地理空间情报预测分析是决策的基础。传统的地理空间情报预测分析大多是基于逻辑思维的定性研究,此处提出了一个地理空间情报预测分析的模型——因果关联图,同时给出了计算预测事件可信度的方法。该方法能够定量、简捷、快速、有效地实现地理空间情报预测分析。     

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