generated subspace

generated subspace的基本解释

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生成子空间

与generated subspace相关的网络例句 [注：此内容来源于网络，仅供参考]

Each search direction is generated in the subspace spanned by two conjugate directions, and can be guaranteed descent.

每个搜索方向在由2个共轭向量张成的子空间中生成，并保证了搜索方向的下降性。

Secondly, based on the theory of stability, the author proposes a new concept concerning the failure criteria as a solution to eliminate these inconveniences whereby the definitions of failure criteria of the infinitesimal volume element of material, the cross section of member, the single member and the aggregate of members are given. Finally, the parameters to represent the degree of failure of the objects and the subspace generated by the failure modes are discussed.

然后笔者在稳定性的意义上提出了一个新的破坏准则的概念，并在此基础上分别给出了针对材料微元、构件截面、单个构件和构件集合的"破坏"的定义，接着进一步定义和讨论了研究对象的"破坏程度参数"和"破坏模式子空间"。

Based on LML theory frame and its algebraic model, geometric model and learning axiom systems, going for further study, this paper presented orbits generated algorithm of learning subspace in LML and applied it to corresponding examples, such as classify of human, chemical composition of wine and eight data sets including Soybean-Large, etc.

本文在李群机器学习的理论框架上，以李群机器学习的代数模型、几何模型、学习的公理系统为基础作进一步研究，给出了李群机器学习的学习子空间轨道生成算法，将该算法应用于人群分类，葡萄酒化学成分分类以及大豆等八个专用数据集的分类，取得了满意的结果。

Quasi-invariant subspaces similar to the quasi-invariant subspace generated by z+w are completely depicted.

给出了和z+w生成的拟不变子空间相似的拟不变子空间的完全刻画。

Therefore, the main characteristics of this paper are:(1) Given orbits generated correlation theory of learning subspace which is the base of researching algorithm;(2) Advanced orbits generated Breadth first, Depth first and Heuristic algorithms, enrich and develop the basic content of LML further;(3) Given corresponding examples to validate the algorithms. However, all the work is tentive and much needs advanced research.

由此可以看出，本文的特色主要体现在以下几个方面：(1)给出了李群机器学习子空间轨道生成的相关理论，为研究学习子空间轨道生成算法奠定了基础；(2)提出了李群机器学习子空间广度优先轨道生成学习算法，深度优先轨道生成学习算法以及带有启发信息的轨道生成学习算法，丰富和发展了LML的基本内容；(3)对所提出的算法给出了相应的实例验证。

与generated subspace相关的网络解释 [注：此内容来源于网络，仅供参考]

generated subspace：生成子空间

生成群 generated group | 生成子空间 generated subspace | 母圆 generating circle