arithmetic speed信息详情
[计]运算速度
arithmetic───n.算术,算法;数字
arithmetic operation───[计]算术运算
arithmetic operations───算术运算
arithmetic mean───算术均数;等差中项;n.算术中项,算术平均
speed───v.快速运动;加速;促进;(使)繁荣;超速驾驶;(非正式)用兴奋剂成瘾;n.(Speed)斯皮德(人名);n.速度,速率;进度;迅速;繁荣;感光度;排挡;(非正式)安非他明
arithmetic series───[数]算术级数,等差级数
arithmetic progression───算术级数,等差级数;等差级数,等差数列;[数]算术级数,算术数列
arithmetic average───[经] 算术平均数;[数]算术平均数
mental arithmetic───n.心算
As for the classification of a small amount of samples, SVM has many advantages, such as a few adjusted parameters and fast arithmetic speed, etc.───对于少量样本的分类问题,SVM具有调节参数较少,运算速度快等优点。
result of experiment indicates the method not only has a big improvement on keeping isophotes direction but also improves arithmetic speed notably.───实验结果表明该方法不仅在保持等照度线方向上有很大改进,而且显著提高了运算速度。
It shows that mirrored adder is better than carry look ahead adder in arithmetic speed and layout.───结果表明镜像加法器在运算速度、版图布局上都优于超前进位加法器。
Sub-clusters can predict by relevance vector machine, and increase arithmetic speed using a more effective kernel parameter choosing method.───子模型通过关联向量机实现概率化预测,并采用一种更加有效的核参数选择算法提高算法速度。
There are no significant mental arithmetic speed and span differences relavent to sex and specialty.
It shows that mirrored adder is better than carry look ahead adder in arithmetic speed and layout.
The result of experiment indicates the method not only has a big improvement on keeping isophotes direction but also improves arithmetic speed notably.
But with the aid of FFT in DFT, the arithmetic speed of convolution kernel can be improved strongly.
Compared with the traditional algorithm, improved AAM has obvious advantage in fitting accuracy and arithmetic speed algorithm and has more practical.
In order to raise arithmetic speed and to expand operand bit of the long adders, the structure of top-level carry cascade carry lookahead adders(TC2CLA) of hybrid modules was presented.
American Motorola microprocessor integration. Arithmetic speed is quicker than that of korean system.
Sub-clusters can predict by relevance vector machine, and increase arithmetic speed using a more effective kernel parameter choosing method.
As for the classification of a small amount of samples, SVM has many advantages, such as a few adjusted parameters and fast arithmetic speed, etc.
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