An Empirical Study on the Relationship Between China's Maize Price and Maize Import and Export Trade

Based on the time series of China’s maize trade and domestic maize price,the article analyzes the relationship between domestic maize price and China’s maize international trade by using empirical methods.The results show that there is a connection between domestic maize prices and China's maize international trade,but the link is not very close.Domestic maize price is the cause of China’s maize international trade change,but its impact is very limited;China's maize international trade also can make some difference on the domestic maize price.Based on the results of research,the article brings three suggestion and expectation to adjust China’s maize international trade and the cost control reasonably in order to stabilize domestic maize price and maize yield,and to protect domestic grain security.     

土地空间利用与土地空间使用权评估

分析了土地空间使用权的概念和意义,并通过借鉴国外立体地价评估方法,对我国土地空间使用权评估提出了独到的见解。     

猪肉价格暴涨和国家战略安全管理危机的应对策略

全国肉价和副食品价格陡升,政府强力举措暂时遏制风头.但是,在粮价成本推动、发散型蛛网效应、联动棘轮效应作用下,肉价还存在强力反弹、再次暴涨机会和长期性上涨趋势.肉价暴涨祸因折射系列战略安全管理深层问题.为应对未来局面,中央政府必须在国家战略上主动应对谋划,地方政府也必须在职能内有所怍为,从九个方面积极着手进行相关战略行动.     

基于利益相关者理论的灌溉水价改革研究

从利益相关者的角度探讨灌溉水价改革的相关问题,采用利益相关者理论,对灌溉水价改革的利益相关者进行了定义,分析了传统利益相关者的属性,对关键利益相关者进行了认定,研究了灌溉水价改革驱动下相关利益主体的互作关系及其演变规律,以此提出了灌溉水价改革的相关对策和建议.     

浅析合理低价中标法

介绍目前建设工程中常用的合理低价中标法等几种招标投标方法,分析合理低价中标法的优点和在实际运用中存在的一些问题,提出解决问题的措施。     

施工阶段全过程造价控制

施工阶段全过程造价控制是指造价工程师在整个施工阶段,对工程造价整体实施动态的、事先的、主动的造价控制。要规范管理,按设定流程操作,把握审查重点,传统法与创新法结合,对施工阶段全过程进行造价控制。     

新农村住宅中太阳能采暖研究

结合新农村住宅用综合能源价格法对太阳能地板采暖与常规热源进行经济效益对比,还对太阳能采暖进行节能效益分析、环保效益分析,得出太阳能采暖在新农村建设中值得推广的结论。     

农用地估价方法综述

农用地估价的常用方法有：收益还原法、收益倍数法、成本法、假设开发法、市场比较法、影子价格法、享乐定价法、土壤潜力估价法、标准田法等。这些估价方法对我国农用地的可操作性、适用范围．学术界有不同的看法，文章对这些观点进行了综述与分析。     

车用三效催化转化器劣化性能数值模拟

本文提出了证券投资组合的一个新模型.该模型综合考虑了证券的收益率、证券分红和证券价格的关系,并将证券分红和证券价格作为系统的随机参数处理,建立了证券投资组合的随机规划模型.利用机会约束规划方法,我们研究了将所建立的随机规划模型转化为普通光滑优化问题求解的方法,得到了该类问题求解的有效途径.     

Application of Intelligent Neural Network on Prediction of Time Series Signal

The research of neural network has been maturated both in theory and practical application since 1980's, and also been employed into the prediction and analysis of nonlinear time series signal in the field of signal process system. Concerning with the problem of time series signal prediction based on traditional neural network, such as black box, poor accuracy, and facing the shortage of post knowledge, this paper presents a different neural network prediction model from the traditional ones, based on intelligent neural cell model and employing the iterative prediction method. Through the example on stock price prediction, the prediction accuracy and practical value are proved.