Research on Optimization of Neural Network Model By Improved PSO Algorithm and Its Application

在水文学科领域中，准确的预报问题是防灾减灾的重要研究课题之一。近年来，由于全球气候的变化和人类活动的影响，全国的气象灾害越来越严重，而且持续的时间比较长和影响的范围也越来越大，我国国民经济的发展受到了严重地影响。如何对现有水文资料的分析和研究并找到其变化的规律是非常必要和重要的。近年来，国内外研究者已成功的将神经网络(NeuralNetworks,NNS)方法应用在大气学科预测建模等各个复杂领域。但目前还没有找到确定优化神经网络的各个参数的定量方法，其中采用最多的是BP神经网络，但对于复杂多维的训练数据或设置不同的参数会存在过拟合、收敛速度低、陷入局部最优和预测效果差等缺陷。这就极大地限制了神...In the field of hydrological subject, accurate prediction is one of the important research topics preventing disaster. In recent years, because of the impact of global climate change and human activities, the national meteorological disasters get more and more serious, and last longer and the influence scope is larger, thus, the development of national economy in China has been seriously affected....学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201223028

Ship formation control via output feedback with unknown dynamics

研究了仅利用相对位置信息和相对航向信息的船舶编队输出反馈控制问题.首先使用leader-follower策略,建立了船舶编队的运动学模型.然后应; 用微分同胚变换将系统解耦成3个子系统.根据船舶低频运动的特点,在跟随船水动力学模型中粘性水动力和力矩未知以及所有船舶速度都不可测量的假定下,提出; 了一种高增益广义比例积分观测器来估计这些未知和不可测量动态.在高增益广义比例积分观测器的基础上,分别设计了线性输出反馈控制器和输入饱和受限的输出; 反馈控制器,并分析了闭环系统的稳定性.最后仿真结果表明了方法的有效性.This paper focuses on the ship formation control problem via output; feedback, with only the information of the relative positions and; relative heading angles available. Firstly, the kinematic model of the; ship formation is established using the leader-follower strategy. Then; the system is decoupled into three subsystems via the diffeomorphism; transformation. According to the low frequency characteristics of the; ship motion, and the assumption that the viscous hydrodynamic forces and; moments in the hydrodynamic models of the follower ships are unknown and; the velocities of all the ships are unmeasurable, the high-gain; generalized proportion-integral observers are proposed to estimate the; unknown and unmeasurable dynamics. On the basis of the high-gain; generalized proportion-integral observers, the linear output feedback; controllers and the output feedback controllers with input saturation; are designed respectively, and the stability of the closed-loop systems; is analyzed. Finally, the simulation results show the effectiveness of; the proposed approach.国家自然科学基金项目; 福建省自然科学基金项

中国二氧化碳的环境库兹涅茨曲线预测及影响因素分析

中国二氧化碳排放的拐点对二氧化碳排放的认识和中国对二氧化碳排放的承诺十分重要。迄今国内还没有对中国二氧化碳排放拐点和预测的研究。本文利用传统的环境库兹涅茨模型模拟与在二氧化碳排放预测的基础上预测两种方法,对中国的二氧化碳库兹涅茨曲线做了对比研究和预测,发现结果存在较大差异。采用对数平均迪式分解法(lMdI)和STIrPA模型,分析了影响中国人均二氧化碳排放的主要因素,解析差异原因。本文的主要结论是:(1)中国二氧化碳库兹涅茨曲线的理论拐点对应的人均收入是37170元,即2020年左右。但实证预测表明,拐点到2040年还没有出现;(2)除了人均收入外,能源强度,产业结构和能源消费结构都对二氧化碳排放有显著影响,特别是能源强度中的工业能源强度。长江学者科研配套经费;国家社科基金(08BJL050)的支

CHARACTERIZATION OF SOL-GEL FILM FOR DISSOLVED AMMONIA SENSING

Optical sensing films using organically modified silicates (ormosils) as a matrix for the determination of ammonia in water based on immobilized a fluorescent indicator aminofluorescein (AF) have been investigated. The sensing film was stability for 6 months. The detection limit of ammonia for different kind of ormosils precursors ranges from 0 01 to 0 5 μg·ml -1 (S/N 2). The response time was less than 10 min.SupportedbyNaturalScienceFoundationofFujian ;;China (D1 1 1 0 1 1

春、秋季台湾海峡海-气CO2通量及其影响因素

于2014年的5月（春季）和9月（秋季）在台湾海峡及其邻近南海和东海海域,采用水气平衡法进行了2个航次的海表和大气pCO2连续走航观测,同时获取了海表温度、海表盐度、风速及气压等数据,并采用海-气CO2分压差减法估算了海-气CO2通量.结果显示,春、秋2个航次平均海表pCO2分别为387±16μatm和408±18μatm.温度是影响台湾海峡及其邻近海域海表pCO2的主控因子,水团混合和其他因素等也对海表pCO2有一定影响.2014年春、秋季节,对研究区域的海-气CO2释放通量的估算结果分别为0.11±1.60 mmol/（m2·d）和2.51±1.10 mmol/（m2·d）.台湾海峡海表pCO2既存在显著的季节变化,又存在较大的空间差异.国家海洋局第三海洋研究所基本科研业务费资助项目(海三科2011015);;厦门南方海洋研究中心资助项目(14GHS016NF16,14PST63NF27

泛在知识环境下的嵌入式知识服务—伊利诺伊大学图书馆学习报告

本文以美国伊利诺伊大学图书馆为范例，介绍该校图书馆在泛在知识环境下交流创造知识理念下的学校图书馆自动化与服务系统、嵌入式教学服务、支撑工具服务、Libguides 学科资源导航、学术共享空间等。阐述馆员工作内容与服务范式，包括科研数据管理、资源数字化、数字工具开发、资源发现与管理等方面。通过交流与学习，对于伊利诺伊大学图书馆知识服务范式，学科馆员的角色定位、特征以及学科服务发展趋势进行深入的分析与探讨

证券投资基金业市场结构与市场绩效关系的实证分析

市场结构与市场绩效的关系,理论界有不同假说。学者们也通过设置不同模型验证产业的市场结构与市场绩效的关系。文章在借鉴这些理论和模型的基础上,根据实际情况,构建模型,对我国证券投资基金业的市场结构和市场绩效的关系进行实证分析,并得出相关结论。福建省教育科学“十二五”规划2011年度规划课题(FJCGGJ11-035

Demand-supply coordination in financial service of Taiwanese invested agricultural enterprises——Taking Taiwan farmers business bases in Fujian as a case

以福建省台资农业企业金融服务为切入点,从金融网点分布的有限性、授信条件的局限性、金融产品服务的单一性以及金融服务意识的被动性等方面,阐述福建省金融服务供给滞后于金融服务需求的情况,进而提出针对性建议,以期加快福建省台资农业企业金融服务的创新。The current status of the financial service supply lagging behind the demand for it in Fujian Province is dealt with in terms of the limit of financial network layout,the limit pf credit extension conditions,the singleness of financial product,and the passivism of financial service awareness,taking the financial service of Taiwanese-invested agricultural enterprises in Fujian Province as a case.The countermeasures are proposed to accelerate the innovation of financial service of Taiwanese-invested agricultural enterprises in Fujian Province

Strategies of Prior-Fractionation for the Graded Utilization of Lignocellulose

木质生物质是地球上最丰富的一类生物质资源,主要由碳水化合物高分子(纤维素、半纤维素)和芳族聚合物(木质素)组成。木质纤维组分的清洁高效分离,是实; 现多元化、高值化生物精炼的重要基础。本文首先讨论了基于分级利用的组分分离技术与基于制备纤维素乙醇的预处理技术的不同之处;其次,梳理归纳了五种木质; 纤维组分优先分级分离策略:纤维素优先分离,木质素优先分离,半纤维素优先分离,木质素和半纤维素优先分离以及纤维素和半纤维素优先分离;再次,基于半纤; 维素优先分离策略,对国内相关的产业化应用进行了评述;最后,对木质生物质组分分离技术的当下定位和发展前景进行了总结与展望,以期对木质生物质的三大组; 分有较全面的价值观念和利用思路,并对木质生物质精炼技术的发展提供借鉴与参考。Lignocellulosic materials contributing the large proportion to the biomass resource are mainly composed of carbohydrate polymers (cellulose, hemicellulose), and aromatic macromolecules (lignin). Pre-fractionating lignocellulose is considered as the foundational step to establish an economical and sustainable lignocellulosic biorefinery. Firstly, the distinction between lignocellulose fractionation technologies and pretreatment methods for cellulosic ethanol production is discussed. Afterwards, five prior-fractionating strategies of lignocellulose for the biorefinery process are elaborated, including cellulose-first processing, lignin-first processing, hemicellulose-first processing, lignin & hemicellulose-first processing, and cellulose & hemicellulose-first processing. And then industrial applications of hemicellulose-first processing in our country are reviewed. Ultimately, the future perspective on lignocellulose fractionation technologies are given. The aim of this review is to provide new insights into the lignocellulosic biorefinery based on the fractionating of lignocellulose.National Natural Science Foundation of China [21676223, 21506177];; Fujian Provincial Development and Reform Commission, China [2015489];; Fundamental Research Funds for the Central Universities [20720160087,; 20720160077, 20720170062]; Natural Science Foundation of Fujian Province; of China [2016J01077, 2015J05034]; Education Department of Fujian; Province [JZ160398

Neural network model based on hybrid algorithms and its application in runoff for ecasting

为了提高径流预报的精度,采用一种基于粒子群和遗传的混合方法同时优化人工神经网络结构、连接权和偏置,在进化过程中采用训练样本和验证样本共享适应度技术,并以此建立径流预报模型。通过对柳州径流实例分析,并与离子群优化的人工神经网络模型、遗传进化的人工神经网络模型和时间序列模型方法对比,研究结果表明,该方法学习能力强、泛化性能高和有效提高系统预测的准确率,为获得更高预测精度的径流预报提供了一种有效的建模方法。In order to improve the accuracy of runoff forecasting,a hybrid algorithm combining PSO and GA algorithm with optimizing artificial neural network structure,connection weights and bias was proposed and used to establish a runoff forecasting model.This hybrid algorithm adopts training samples and validation samples to share fitness in the evolutionary process.The algorithm was compared with two forecasting models including PSO-ANN and GA-ANN through the actual examples of Liuzhou runoff forecasting.The results show that the new approach has strong learning ability and high generalization performance and can improve the accuracy of forecasting system effectively.Thus,it is an effective modeling method to get high precision of runoff forecasting.国家自然科学基金资助项目(61202143;51065002;11161029