Convergence of Ishikawa Type Iterative Sequence With Errors for Asymptotically Quasi-nonexpansive Mappings in Convex Metric Spases

Liu Qihou, in 2001 and in 2002, extended the results of Petryshgh and Williamson, Ghosh and Debnath respectively in 1973 and in 1977, proved some sufficient and necessary condition for Ishikawa iterative sequence and for Ishikawa iterative sequence with error member of asymptotically quasi-nonenpansive mappings to converge to fixed poind in Banach space and in uniform convex Banach space. In convex metric spaces,the Ishikawa iteration process with errors is defined for asymptotically quasi-nonexpansive mappings.Some sufficient and nevessary conditions proved for the iterative schene converges to the fixed point of the asymptotically quasi-nonexpansire mappings.These results qeneralize and unify many important known results in recent literature.     

基于神经网络的传感器非线性校正方法

BP神经网络是基于数值计算的知识处理系统，具备高度非线性映射的能力。为此，通过BP神经网络对样本数据进行训练，得到非线性校正模型及精度值，然后与传统的曲线拟合方法进行比较分析。结果显示，基于神经网络模型的传感器非线性校正方法具有良好的测试精度和实用性。     

悬挂犁耕机组运动特性分析及合理瞬心范围研究

建立了悬挂犁耕机组运动特性计算的数学模型，研究了较为精确的解题方法，计算机仿真了悬挂犁的升降过程，给出了多种国产拖拉机悬挂犁耕机组的计算实例，对入土角，入土行程，瞬心位置给出了若干统计规律，探讨了规定瞬心范围的依据，对国标中的规定作了讨论，并提出了修改意见。     

基于ADAMS/View的动力总成悬置系统开发及应用

阐述了汽车动力总成悬置系统主要作用,及虚拟样机技术在悬置系统设计中的应用,应用机械系统动力学分析软件ADAMS中建立了动力总成悬置系统六自由度的模型。以ADAMS/View为二次开发平台,定制一个动力总成悬置系统用户化模块,使用户在不是很熟悉ADAMS操作的情况下也可以完成悬置系统的建模及性能分析,提高了工作效率。     

EPIC模型对华北平原冬小麦与夏玉米生长和产量模拟的适用性评价

为验证EPIC模型应用于华北地区农业生产的适用性,利用禹城生态试验站的试验观测数据对该模型参数进行了修订,构建了适合华北平原的模型参数数据库,并分别验证了2003-2005年冬小麦、2004年夏玉米的叶面积指数、生物量和产量模拟的精度与适用性。结果表明,EPIC模型对禹城站冬小麦和夏玉米叶面积指数和地上部生物量的模拟值和实测值随时间的变化趋势大体一致,决定系数均高于0.81;EPIC模型对禹城站2004、2005年冬小麦产量的模拟误差分别为1.61%和-2.56%,对2004夏玉米产量的模拟误差为-2.60%。因此,该模型模拟产量的绝对误差低于2.60%,适用于华北平原冬小麦和夏玉米的产量评估。     

Will the Conventional Soil-Plant Analysis Pass into Oblivion? Rapid and Low-Cost Determination Using Spectroscopy

Is it time for replacing the traditional soil-plant analysis methods by spectroscopy? Traditional analytical methods are subject to significant sources of errors that commonly result in compromise of soil characteristics and gross underestimation of chemical concentrations in soil-plant for a wide range of analyses. Given the magnitude of the decisions that are made based on these data, the technical and economic impacts of using traditional methods can be significant. Therefore, it is now time for soil-plant spectroscopy to enter an operational phase. Spectroscopy has opened a new era in which traditional analyses are being left behind. Spectroscopy can be used to accurately predict certain soil and plant properties, making it a valuable tool in precision farming. Soil spectra contain much information relevant to soil-plant properties. Multivariate regressions of spectra can accurately predict several soil properties. Spectroscopy requires only a few seconds to analyze a soil sample, but the relevant information needs to be mathematically extracted from the spectra so that it can be correlated with soil properties. Therefore, the successful application of spectroscopy to quantify and evaluate the relationships between soil reflectance and soil properties depends largely on the development of accurate and robust calibration models. These procedures appear to be sufficiently accurate and precise to enable their use in soil and plant analysis. There are many advantages to using this technique.     

Relationship between mean square errors and wheat grain yields in long-term experiments

When yield data from field experiments are combined, the impact of environment on treatment is ignored. The objectives of this work were to determine the frequency for combining year-to-year data. Grain yield mean square errors (MSE) were calculated by-year from two long-term winter wheat experiments (E222 and E502). These trials have been continuously planted to winter wheat (Triticum aestivum L), and both annually receive different nitrogen (N), phosphorus (P) and potassium (K) fertilizer rates. Relationships between average grain yields, coefficients of variation (CV), and MSE were evaluated over 42 and 41 years for E222 and E502, respectively. The F-statistics (large MSE/small MSE, 39 dfn, 39 dfd, alpha = 0.10) computed from 2 and 3 consecutive years were consistently more than the minimum F-value required to combine sites. For 83 site years of data, combining any 2 or 3 consecutive year periods was not advisable. Individual years should be analyzed and reported on independently.     

来华留学生汉语声调习得偏误分析与教学对策研究——以安徽农业大学为例

依据声调理论，研究采用语音测试法，对25名来华留学生的汉语声调习得偏误从调型偏误、调域偏误和调长偏误三个方面进行分析。结果表明：调型偏误是声调偏误的主要类型；母语背景和性别特征都是影响留学生声调习得的重要因素；四声起点音和尾音的音高误差是导致调域偏误和调型偏误的重要因素。汉语声调教学的“阳阴去上连读教学法”能帮助学生在连读中定好四声起点与尾音的位置。