The general inference and demonstration of the equilibrium problem of particle system are carried on, the full and necessary conditions are given while the constraint is ideal, linear and scleronomic.
本文就质点系平衡问题进行了一般性的推证，给出了当约束是理想、线性定常约束时的质点系平衡的充要条件。
It is always in the same way in proving the inference of the rule that determinant spread in row or column in the current "Linear Algebra" teaching material.
在现行《线性代数》教材中，关于行列式按行(列)展开法则推论的证明，基本上采用同一种方法。
The paper pays a big attention to the combined mechanism and algorithms of TB using inference machine and optimization using linear programmes.
文章着重介绍了用推理机实现拼配和线性规划实现优化的复合机制及算法。
The paper proposes a new way to design a fuzzy inference machine. On the basis of a linear optimal excitation controller, the fast fuzzy adaptive excitation control of the generator is realized.
提出了一种新的模糊推理机和设计方法，并在线性最优励磁控制器的基础上，实现了发电机励磁的快速模糊自适应控制。
Then patterns are categorized by the designed fuzzy inference regulation. The design of this piecewise linear classifier enhances the ability of linear classification of the algorithm.
然后，通过设计的模糊推理规则进行模式的分类，这种分段线性分类器的设计提高了算法线性分类的能力。
Moreover, a fuzzy inference mechanism was developed to form the core of fuzzy expert system frame, which could be realized through linear fuzzy matrix algebra.
此外，还开发了用以形成模糊专家系统框架核心的推理机制，并通过线性模糊矩阵代数运算予以实现。
The results show that if at the very beginning of inference, the linear loss is considered, the coefficient of the equation will change due to the linear loss.
结果表明，如果从推导之始就考虑线性损耗效应，则方程中某些项的系数会因线性损耗的引入而改变。
FNN efficiently maps the complex non-linear relationship between data by drill and rebound methods for its automatic learning, generation and fuzzy logic inference.
由于模糊神经网络具有很强的自学习、泛化和模糊逻辑推理功能，它可以有效地映射出钻芯、回弹数据间复杂的非线性关系。
Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential models.
贝叶斯推理的模型和广义线性模型，加速寿命故障模式，Cox回归模型和分段指数模型。
According to linear request of the entire bridge main arch rib, use fuzzy theory and the ANFIS inference system forecast that various stages raise in advance.
根据全桥主拱肋线形要求，利用模糊理论及ANFIS推理系统预测各节段的预抬高值。
Linear model is a kind of statistical model and have a long history and wide applications. The inference results interpretation is an important aspect in model statistical inference.
线性模型是一类研究历史悠久，应用范围广泛的统计模型，在模型的统计分析中，结果解释是重要的组成部分。
The rule of inference used in this procedure is a subcase of linear resolution—the unit resolution.
证明过程所采用的方法是线性归结的特殊情形——单位归结。
For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。
For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.
对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。
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