| 1. | Laboratory experiment of the rheological property of soft clay and the improved xiyuan model
软土流变特性的室内试验与改进的西原模型 |
| 2. | The merit of the improved model is revealed by the example in this paper . 3
研究表明，修正后的模型的精度比原模型有了较大的提高。 |
| 3. | Flexibility of visco - elastoplastic model to rheological characteristics of rock and solution of rheological parameter
西原模型对岩石流变特性的适应性及其参数确定 |
| 4. | The excellent and defect of gray clustering models in existence were analyzed and the mechanism of the original model was demonstrated in the letterpress
摘要分析了现有主要灰色聚类模型的优缺点，论证了灰色聚类原模型的机理。 |
| 5. | The dependencies of the bean are determined by querying the application metamodel , which is typically expressed in xml as a spring configuration file
透过查询应用程式的元模型，可以确定bean的依存项内置，原模型通常是在spring的配置档中用xml表示的。 |
| 6. | When slicing criterion is extracted from the property to be verified according some rules , the sliced eha and the original one are equivalent to the property
当按一定规则从被验证的性质中提取切片准则时，该算法能保证切片后的eha与原模型对性质具有相同的满足性。 |
| 7. | The thesis chose optimization theory as study aspect . the frame of the thesis as follows . the first chapter simply discussed inventory optimization theory , and modified faults of original model
论文的研究框架如下：第一章、简要论述库存优化基本理论，对原模型的不足进行了改进。 |
| 8. | ( 2 ) based on the object prototype represented by half - edge data structure , the paper presents a method to construct fragments in explosion , which is called random - classification construction method
( 2 )针对半边数据结构表示的物体原模型，提出了物体爆炸时构造破片的理论方法，称之为随机分类构造法。 |
| 9. | According to the analysis of this methods - decoupling - iteration and two - echelon optimization respectively , the origin model can be transformed into the corresponding sub - models , which can be solved by some available algorithms
根据分解迭代和两阶段逐步优化两种不同的分析思路，分别对原模型进行转化，使转化后的各子模型能用目前较成熟的算法来求解。 |
| 10. | While it ' s always possible to estimate robust standard errors for ols estimates , if we know something about the specific form of the heteroskedasticity , we can transform the model into one that has homoskedastic errors ? called weighted least squares
对ols估计稳健标准差总是可能办到的，但是，如果我们知道一些关于异方差结构的信息，我们可以将原模型转化为具有同方差的新模型，这称为加权最小二乘法。 |
