基于FLANN的非线性动态系统辨识

采用一种基于FLANN-PSO的SISO非线性动态系统辨识方法,构造了基于FLANN的辨识模型,然后运用PSO优化算法实现模型权值辨识.通过对4种典型非线性动态系统进行了辨识仿真,结果表明该方法具有良好的性能和高辨识精度,它将更适合于工程实际需要.     

中国与中亚国家的农业机械产品贸易研究

[目的]探讨中国与哈萨克斯坦、吉尔吉斯斯坦两国的农业机械产品贸易现状和贸易关系,为进一步加强中国与中亚国家的农业机械产品贸易提供对策建议.[方法]在利用统计描述法分析中国与哈萨克斯坦、吉尔吉斯斯坦两国的农业机械产品贸易现状的基础上,利用RCA与出口相似度指数对中国与哈萨克斯坦、吉尔吉斯斯坦两国的农业机械产品贸易关系进行测算.[结果]哈萨克斯坦、吉尔吉斯斯坦两国都是农业机械产品的进口国,并且中国对哈萨克斯坦、吉尔吉斯斯坦两国的农业机械产品贸易中呈现出以出口贸易为主的特征.在显性比较优势方面,中国与哈萨克斯坦、吉尔吉斯斯坦两国在农业机械产品贸易中互补性较强.[结论]在发展中国与中亚国家的双边贸易时,中国应充分利用双边在农业机械产品贸易上的互补性,发挥比较优势,促进农业机械产品出口贸易的发展.     

BP与RBF网络在一些非线性曲线拟合上性能的比较

对BP与RBF人工神经网络在隐层的传递函数、层数及结点数上的区别进行了比较;对BP与RBF2种神经网络在给定的3个较为复杂的非线性函数上进行Matlab仿真;并分析比较了这2种人工神经网络在指定参数下对不同非线性函数进行拟合时的拟合精度和时间效率;最后给出BP与RBF网络进行非线性曲线拟合的选择方法.     

一类改进的混沌时间序列局域非线性自适应预测

为了提高混沌时间序列的预测性能,在局域非线性自适应预测模型的非线性函数中引入参数,λ通过选择合适的λ建立新的非线性预测模型。通过对Logistic混沌映射、Henon混沌映射、Lorenz混沌流和Rosslor混沌流进行仿真计算,结果表明该模型的预测精度比局域非线性自适应预测的一步预测精度高,且具有一定程度的抗噪性能。     

Development of the expressed immunoglobulin μ chain repertoire during maturation of mice B cells

In the bone marrow and spleen, the developing B cell populations undergo both negative and positive selections to shape their B cell receptor repertoire. To gain insight into the shift of the immunoglobulin heavy (IgH) chain repertoire during B cell development, we undertook large scale Ig μ chain repertoire analysis of pre-B, immature B and spleen B cell populations. We found that the majority of V_H gene segments, V_H families, J_H and D gene segments, were observed to have significantly different usage frequencies when three B cell populations were compared, but the usage profile of the V_H, D, and J_H genes between different B cell populations showed high correlations. In both productive and nonproductive rearrangements, the length of CDRH3 shortened significantly on average when B cells entered the periphery. However, the CDRH3 length distribution of nonproductive rearrangements did not follow a Gaussian distribution, but decreased successively in the order 3n-2, 3n-1 and 3n, suggesting a direct correlation between mRNA stability and CDRH3 length patterns of nonproductive rearrangements. Further analysis of the individual components comprising CDRH3 of productive rearrangements indicated that the decrease in CDRH3 length was largely due to the reduction of N addition at the 5′ and 3′ junctions. Moreover, with development, the amino acid content of CDRH3 progressed toward fewer positively charged and nonpolar residues but more polar residues. All these data indicated that the expressed Ig μ chain repertoire, especially the repertoire of CDRH3, was fine-tuned when B cells passed through several checkpoints of selection during the process of maturation.     

中国与亚太地区主要国家木质林产品贸易竞争性与互补性分析

亚太地区拥有丰富的森林资源,中国与亚太地区主要国家林业经贸合作前景十分广阔。文中运用显性比较优势指数、贸易互补性指数和产业内贸易指数分别对2006—2015年中国与亚太主要国家木质林产品贸易的竞争性与互补性进行分析,结果表明:与亚太主要国家相比,中国木质林产品竞争力较弱,但与其贸易互补性很强。中国应积极加快木质林产品结构转型,提升产品质量以增强竞争力,并利用贸易互补性扩大与亚太主要国家的林产品贸易规模,实现区域互利共赢。     

非线性复微分方程的解与Hω∞空间

利用直接的积分估计,研究非线性复微分方程(f~(k))~(n_k)+A_(k-1)(z)(f~(k-1))~(n_(k-1))+…+A_1(z)(f′)~(n_1)+A_0(z)f=Ak(z)解的函数空间属性,刻画了方程的解析解,以及它们的导数属于H∞ω空间时系数需要满足的条件.改善及推广了已有的相关结果.     

Comparison on accuracy of different nonlinear models in predicting growth of Podolica bulls

Animal growth does not follow a linear pattern, being explained mathematically by functions that have parameters with biological meaning. These parameters are used to estimate the expected weight of animals at specific ages. Several nonlinear models have been used to describe growth. This study was carried out to estimate the parameters of logistic, Gompertz, Richards and von Bertalanffy growth curve models in a sample of Podolica young bulls to determine the goodness of fit. Animals were weighed every 3 months from birth to 810 days of age. The results indicate that all the growth models used were easily fitted to the observed data with Gompertz and logistic functions presenting less computational difficulty in terms of number of iterations to achieve convergence. Moreover, logistic and Richards equations provided the best overall fit being useful to describe the growth of Podolica bulls. Considering that the literature lacks information on growth curves in Podolica breed, the study of a mathematical model for growth describing the developmental pattern of a specific population within a peculiar environment is a useful tool to improve Podolica breed production.     

实测拟合Mironov介电常数的SMOS对土壤水分反演精度的优化

为对农业干旱预测方法和提高SMOS的反演精度参考,介于Mironov介电常数与土壤水分的变异趋势呈相似规律,尝试利用区域性实测数据非线性拟合二者的量化关系,进而由SMOS L2介电常数直接反求土壤水分、快速改善其反演精度。结果表明:在不考虑空间异质性的情况下,该方法将绝对误差由0.095~0.112降低至0.071~0.072。说明,以真实观测作为先验辅助信息,采用优化参数的方式能够有效提升SMOS对土壤水分的整体反演精度。     

基于非线性混合效应模型的柠条株高生长过程研究

【目的】建立宁夏盐池地区柠条林株高生长量与种植年限关系模型,为精确掌握柠条林的生长过程提供依据。【方法】以盐池县北部、中部、南部的柠条林为研究对象,考虑不同地区立地条件的差异性及种植密度对株高生长的影响,对原有生长方程进行改进,并在改进的基础上利用非线性混合效应(NLME)模型方法建立其株高生长量与种植年限的关系模型,用幂函数、指数函数、常数加幂函数考虑数据间的异方差性,最后对NLME模型与传统模型、改进后的模型、不含随机效应的NLME模型的精度进行对比分析。【结果】相较其余3种模型,含有随机参数且考虑异方差结构的NLME模型精度有显著提高,其调整后的决定系数可达到0.986 5,平均绝对误差和剩余均方根误差分别为0.073 2和0.094 2。【结论】基于改进后Korf方程建立的柠条株高生长量与种植年限关系的NLME模型,考虑了种植密度对株高生长的影响,消除了数据间的异方差性,可准确描述盐池县不同地区柠条株高的生长过程。