Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network

The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.     

Estimation of parameters in a split functional model of geodetic observations (<Emphasis Type="Italic">M</Emphasis><Subscript>split</Subscript> estimation)

The paper presents a method of estimating parameters in two competitive functional models. The models considered here are concerned with the same observation set and are based on the assumption that an observation may result from a realization of either of two different random variables. These variables differ from one another at least in the main characteristic (for example, outliers can be realizations of one variable). A quantity that describes the opportunity of identifying a single observation with one random variable is assumed to be known. That quantity, called the elementary split potential, is strictly referred to the amount of information that an observation can provide about two competitive assumptions concerning the observation distribution. Parameter assessments that maximize the global elementary split potential (concerning all observations), are called M _split estimators. A generalization of M _split estimation presented in the paper refers to the theoretical foundation of M-estimation. An erratum to this article can be found at     

基于云理论、粗集和模糊神经网络的区域橡胶种植适宜度评估模型

针对橡胶种植适宜性评估,基于云理论、粗集理论和模糊神经网络理论,提出了一种适宜度评估模型。该模型将转化的样本数据进行粗集简约,通过模糊神经网络得出评价因子的隶属函数,计算评价等级。研究结果表明,此模型能够科学、快速、准确地分析出橡胶种植最适宜区、适宜区、次适宜区和不适宜区。     

回归直线的拟合度

采用模糊数学的方法研究回归直线与实测点的拟合度,提出回归直线的似合度,给出计算回归直线拟合度的方法。     

中国饮食文化的区域分化和发展趋势

现代地理学主要研究地球表层的“地体”与“地象”的区域特征和地域分异的时空发展规律。以食品和菜肴为“地体”，与餐饮有关的文化作为“地象”出发，本文通过饮食文化的地域分异、菜系的形成，中国四大菜系的比较研究，阐述中国饮食文化的区域特征和地域分化的时空发展规律，并预测其发展趋势。     

Frequency Effects of Fine Thin Layer

ＦｒｅｑｕｅｎｃｙＥｆｆｅｃｔｓｏｆＦｉｎｅＴｈｉｎＬａｙｅｒ￥ＺｈａｎｇＳｈｕａｎｇｘｉ（ＥｅｐａｒｔｍｅｎｔｏｆＧｅｏｐｈｙｓｉｃｓ，ＣｈｉｎａＵｎｉｖｅｒｓｉｔｙｏｆＧｅｏｓｃｉｅｎｃｅｓ，Ｗｕｈａｎ４３００７４）ＹｕａｎＴａｏ；ＺｈａｎｇＷｅ...     

基于粗规则对象空间信息表的最小规则集生成

提出了粗规则对象空间信息表的概念、相关概念和性质，并给出实现粗规则最小化算法。基于此，编写了相应的计算机程序，并对一个地理信息系统实例规则进行了研究。实例表明运行可靠、结果正确，可应用于智能决策信息系统的知识库优化。     

A research on grey numerical imitation and modeling of groundwater seepage system

Based on grey set, grey numbers and their operation properties, the grey numerical model of groundwater seepage system was set up for the first time, the whole grey solving method of the model was given and it was proved that the common solving method of the model was only a special case of the grey solving methods. At the same time, the grey solving method was compared widely with common solving method, classical numerical method. The study shows that the grey solving method is better in depicting the procedure of transporting grey data of groundwater system. On the basis of the theoretical study, two basic kinds of cases about groundwater seepage were selected: the prediction of pit yield and the evaluation of groundwater resources on a groundwater basin. In the cases, systematical analyses were made for generalization and greylization of the hydrogeologic conditions, setting up of the grey model, identification and correction of the model as well as its prediction and evaluation. It was pointed out that when the grey numerical model is used to predict pit yield, the upper limit of the “grey band” of groundwater level cannot be higher than planed safe groundwater level, when evaluating the groundwater resource, the lower limit of the “grey band” of groundwater level cannot be lower than controlled level of groundwater.     

永城煤电集团滤波装置改造的技术经济分析

根据对永城煤电集团供电系统中存在的主要谐波情况，翔实分析了其所造成的附加损耗和经济损失。针对永城煤电集团用电负荷造成的谐波现状及现有的固定LC滤波装置的特点，经综合分析最后确定选用TCR型静止动态无功补偿装置与两矿现有的LC滤波装置并联，组成TCR＋FC结构。从技术、经济两方面看，具有重大意义。     

PROGRAM FOR PROCESSING OF HISTORICAL LABORATORY DATA BASED ON FUZZY SET THEORY AS A TOOL FOR DECISION SUPPORT

A computer program(FEA)is presented for processing historical laboratory data.It performs on a list ofsample entries stored in a laboratory information management system.Using an algorithm which is basedon fuzzy set theory,FEA classifies the entries into a limited number of clusters called sample types.Theclassification is fully user-defined.The program transforms the historical data into a representation whichis more suitable for studying the performance of the laboratory or which can be used as preparation for asimulation project.