学习向量量化的英文
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"学习向量量化"怎么读用"学习向量量化"造句
英文翻译手机版
- lvq learning vector quantization
- "学习"英文翻译 study; learn; emulate
- "向量"英文翻译 vector; vector quantity
- "量化"英文翻译 quantization
- "向量量化" 英文翻译 : lvq
- "向量量" 英文翻译 : vector flux
- "矢量量化" 英文翻译 : vq vector quantitation; vq vector quantization
- "向量化" 英文翻译 : vectorization
- "点阵矢量量化" 英文翻译 : lvq lattice vector quantization
- "分层矢量量化" 英文翻译 : hvq hierarchical vector quantization
- "矢量量化编码" 英文翻译 : vqc vector quantitation coding
- "向量场的向量量" 英文翻译 : vector flow of vector field
- "岔断向量化" 英文翻译 : vectoring interrupt
- "可向量化的" 英文翻译 : vectorizable
- "向量化程序" 英文翻译 : vectorization program
- "向量化过程" 英文翻译 : vectorization procedure
- "可局部向量化" 英文翻译 : locally vectorizable
- "向量化, 引导, 制导, 定向" 英文翻译 : vectoring
- "信道最佳化矢量量化" 英文翻译 : covq channel-optimized vector quantization
- "目标代码向量化" 英文翻译 : vectorization of object codes
- "向量化串行计算" 英文翻译 : vectorizable serial computation
- "向量化优先度中断" 英文翻译 : vectored priority interrupt
- "自动向量化过程" 英文翻译 : automatic vectorization procedure
- "物理学习适应性测量量表" 英文翻译 : paat
- "矢量量化,纹理压缩(加速芯片的功能)" 英文翻译 : vq vector quantization
- "量化" 英文翻译 : quantization◇量化器 quantizer; digitizer; 量化失真 quantizing distortion; 量化条件 quantum condition; 量化误差 quantization error; 量化信号 quantized signal
例句与用法
- When the number of the training samples were on the two numbers , 200 and 250 , the classified accuracy was irregular , and the difference between these two number was not significant
在实验设计上,先产生三种混合样本资料,以比较在各种不同的实验设计下,学习向量量化网路分类正确性之差异。 - The purpose of this study was to explore the effect of the different training samples , learning rate and numbers of hidden layers on the classified accuracy when using learning vector quantization to analysis
摘要本研究采电脑模拟探讨不同训练范例样本数、学习速率及隐藏层个数对学习向量量化网路分类正确率之影响。 - Collecting and reading the correlative reference documents all over the world ; based on analyzing the performances and characteristics of neural network , employing the learning vector quantification neural network to recognize the flow regime of gas - solid two - phase flow , and carrying out simulation research
阅读国内外有关参考文献,在分析研究神经网络的功能及特点的基础上,选取学习向量量化神经网络作为气固两相流流型辨识的手段,并进行了仿真研究。
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