英语词汇“minima”的意思、用法、释义、翻译、读音、例句、短语、词组-英语词典

学习怎么用

双语例句

用作名词(n.)

We have explained how cosmology populates most of the minima, resulting in a complicated universe that contains bubbles with every imaginable value of the vacuum energy.
我们已经解释了宇宙学如何聚居了大多数的极小值，以至造成一个极复杂的宇宙，其中包括了具备所有可想像真空能量值的泡泡。

权威例句

Escaping free-energy minima
The Multiple-Minima Problem in Protein Folding
Surmounting the Multiple-Minima Problem in Protein Folding
Noise estimation by minima controlled recursive averaging for robust speech enhancement
Timing of the Last Glacial Maximum from observed sea-level minima
Monte Carlo-minimization approach to the multiple-minima problem in protein folding.
Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging
Neural networks and principal component analysis: learning from examples without local minima
Neural networks and principal component analysis: learning from examples without local minima
Hornik, K.: Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks 2(1), 53-58

单词	minima
释义	minima 听听怎么读英 [?m?n?m?] 美 ['m?n?m?] 是什么意思 n. 最小值，最小化（minimum的复数）；最低限度，最小量（ minimum的名词复数）；极小量；学习怎么用双语例句用作名词(n.) We have explained how cosmology populates most of the minima, resulting in a complicated universe that contains bubbles with every imaginable value of the vacuum energy. 我们已经解释了宇宙学如何聚居了大多数的极小值，以至造成一个极复杂的宇宙，其中包括了具备所有可想像真空能量值的泡泡。权威例句 Escaping free-energy minima The Multiple-Minima Problem in Protein Folding Surmounting the Multiple-Minima Problem in Protein Folding Noise estimation by minima controlled recursive averaging for robust speech enhancement Timing of the Last Glacial Maximum from observed sea-level minima Monte Carlo-minimization approach to the multiple-minima problem in protein folding. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging Neural networks and principal component analysis: learning from examples without local minima Neural networks and principal component analysis: learning from examples without local minima Hornik, K.: Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks 2(1), 53-58
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