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论工程量清单计价模式 被引量:1
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作者 吴娟梅 吴玉杰 《黄河水利职业技术学院学报》 2004年第4期48-49,共2页
工程量清单计价的编制应遵守“四统一”的规则,相关费用组合应更加科学合理。体现综合单价计价、计价量价分离、风险承担的特点,在工程项目的准备、招投标阶段、施工实施阶段、竣工结算阶段进行全程控制。特点和控制进行了较详细的阐述。
关键词 工程清单 综合单 计价量价分离 自主报
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工程造价的确定和控制方法研究 被引量:1
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作者 陈肖峰 朱跃强 《中国新技术新产品》 2008年第16期158-158,共1页
本文对建筑工程造价管理确定与控制的方法及应用进行了系统分析。
关键词 工程清单 计价量价 工程造
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工程造价的确定和控制方法研究
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作者 朱贤志 《城市建设(下旬)》 2010年第4期320-320,共1页
本文对建筑工程造价管理确定与控制的方法及应用进行了系统分析,主要介绍了量价分离法确定工程造价,最后提出了工程造价的四种控制方法。
关键词 工程清单 计价量价 工程造
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Sense Estimation and Instrumental Evaluation of Fabric-Evoked Prickle 被引量:1
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作者 敖利民 郁崇文 《Journal of Donghua University(English Edition)》 EI CAS 2004年第3期82-87,共6页
In this paper, the mechanism of fabric-evoked prickle is discussed, which indicates that the mechanical stimuli aroused by the fiber ends on the fabric surface to the skin-sensory receptors are responsible for prickle... In this paper, the mechanism of fabric-evoked prickle is discussed, which indicates that the mechanical stimuli aroused by the fiber ends on the fabric surface to the skin-sensory receptors are responsible for prickle. The factors influencing the intensity of prickle are specialized and anatomized. Several means of sense estimate, including the corresponding statistical measures, are described. A few groping objective methods of evaluating prickle are analyzed, including the testing principles, the advantages and the disadvantages. At last, a new concept is proposed on the objective evaluation of prickle. 展开更多
关键词 MECHANISM the influencing factors statistical measures subjective evaluation objective evaluation
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An Intelligent Approach to Sensory Evaluation: LVQ Neural Network 被引量:2
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作者 丁香乾 杨宁 肖协忠 《Journal of Donghua University(English Edition)》 EI CAS 2004年第3期40-42,共3页
Converting between “fuzzy concept” and “numerical value” in computer aided assessment is rather difficult in many applications. This paper presents a LVQ neural network paradigm for sensory evaluation. This intell... Converting between “fuzzy concept” and “numerical value” in computer aided assessment is rather difficult in many applications. This paper presents a LVQ neural network paradigm for sensory evaluation. This intelligent approach utilizes predefined class information for supervised learning in order to solve the converting problem and keep the fuzziness and imprecision of the whole sensory information. The method is validated by the experiment on stimulation evaluation of cigarette sensory. 展开更多
关键词 LVQ Network Sensory Evaluation CLASSIFICATION Fuzzy Evaluation Index
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