时滞recurrent神经网络模型的全局渐近稳定性

讨论了时滞recurrent神经网络模型的全局渐近稳定性,通过构造适当的Lyapuov函数,利用线性矩阵不等式,给出了一类常时滞recurrent神经网络的新的充分条件,所获的稳定性条件是时滞相关的,稳定性判别条件更宽松.最后通过一个实例说明方法的可行性.     

不同成熟度沾化冬枣冰点测定及适宜贮藏温度的研究

贮藏温度是影响沾化冬枣贮藏寿命的关键因素,对白熟果、初红果、半红果和全红果4种成熟度冬枣冰点的温度进行了测定,分别为-2．1℃、-3．1℃、-3．9℃和-4．0℃。在此基础上确定了不同成熟度冬枣的适宜贮藏温度,为沾化冬枣贮藏提供了理论和技术依据。     

理论生长方程对杉木人工林林分直径结构的模拟研究

理论生长方程在林分直径结构领域的应用具有重要的理论和实践意义。为探寻影响理论生长方程模拟性能好坏的内外机制，从而有所选择和鉴别地使用理论生长方程，本文从林分及方程两个角度出发进行了探讨。结果表明：年龄、立地、密度、间伐强度等因素对Richards等6种生长方程模拟精度影响不明显，而不同方程间的模拟精度差异极明显；林分直径累积分布曲线的拐点存在一个主要区间(0．4～0．6)，生长方程拐点的取值情形与方程模拟精度的大小密切相关，方程最佳拟合曲线的有效拐点区间愈大、拐点精确度愈高，拐点有效性越大，则方程模拟精度越高。     

粘钢加固技术的设计与应用

粘钢即在被加固构件表面粘贴钢板，籍以提高其承载能力，目前粘钢技术已在实际工程中得到广泛应用，技术日趋成熟，粘钢有施工简便、工期短、占用的空间小等优点；本文根据施工经验提出施工方法，以利在实际加固当中取得较好的经济效益。     

The Weighted Ideal Point Method and Its Application in Forest Harvest Regulation

本文通过对理想点法进行分析，认为该法取不同的ｐ值代表决策者对不同目标的偏爱程度；但ｐ值过大模型求解比较困难，故实际应用时ｐ值取较大的值并不现实．为进一步突出决策人对不同目标的偏爱程度，作者对理想点法进行改进，引进了各目标的权重，提出了加权理想点法．与前者比较，它进一步突出了不同目标对决策结果的影响，使决策结果更符合决策者的愿望，便于在生产中实施．通过用该法对山西省千秋沟林场某经营类型进行收获调整，表明用该法进行森林收获调整，到调整期末龄级结构基本达到完全调整林状态，且可将决策者对不同目标的要求落实到合理水平上．     

运用数量化方法估测普洱县森林蓄积量

根据普洱县森林遥感调查资料 ,利用卫星影像特征判读数据与地面实测数据建立数学类型 ,估测森林蓄积量。首先将 2 0 0块有、疏林地数据输入数据本中 ,然后分析其与优势树种、龄组、郁闭度、海拔、坡向、坡度的关系 ,结果把样地分为针叶林、阔叶林、针阔混交林三个类型分别建立数学模型 ,以估测每公顷蓄积量。数学模型的建立是根据数量化模型的原理来编程 ,并通过计算机的不断调试 ,直到可行为止。蓄积量比较精度达到 90 3%。     

青檀耐荫性的初步研究

在连续３年测定比较几个不同树种的生理特性和树冠结构的基础上，本文对青檀的耐荫性进行了初步分析，结果表明，青檀的耐荫性随年龄的增大而降低，１２年生以前，青檀是耐荫的；１３至２５年生之间，青檀是喜光树种；２６年生以后青檀则逐渐变为阳性树种。比较的结果还表明，青檀的耐荫性较马尾松强，较杉木弱，从总体看属中偏阳树种。     

Geographic Information System‐Based Analysis of the Spatial and Spatio‐Temporal Distribution of Zoonotic Cutaneous Leishmaniasis in Golestan Province,North‐East of Iran

Zoonotic cutaneous leishmaniasis (ZCL), a vector‐borne disease, poses serious psychological as well as social and economic burden to many rural areas of Iran. The main objectives of this study were to analyse yearly spatial distribution and the possible spatial and spatio‐temporal clusters of the disease to better understand spatio‐temporal epidemiological aspects of ZCL in rural areas of an endemic province, located in north‐east of Iran. Cross‐sectional survey was performed on 2983 recorded cases during the period of 2010–2012 at village level throughout the study area. Global clustering methods including the average nearest‐neighbour distance, Moran's I, general G indices and Ripley's K‐function were applied to investigate the annual spatial distribution of the existing point patterns. Presence of spatial and spatio‐temporal clusters was investigated using the spatial and space–time scan statistics. For each year, semivariogram analysis and all global clustering methods indicated meaningful persistent spatial autocorrelation and highly clustered distribution of ZCL, respectively. Eight significant spatial clusters, mainly located in north and northeast of the province, and one space–time cluster, observed in northern part of the province and during the period of September 2010–November 2010, were detected. Comparison of the location of ZCL clusters with environmental conditions of the study area showed that 97.8% of cases in clusters were located at low altitudes below 725 m above sea level with predominantly arid and semi‐arid climates and poor socio‐economic conditions. The identified clusters highlight high‐risk areas requiring special plans and resources for more close monitoring and control of the disease.