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- However, it will be at the lowest training speed. 但是,它将是以最低的训练速度。
- Whom do the high-speed trains speed up for? 奔驰的火车你在为谁提速?
- The train sped through the countryside. 火车飞驰而过乡间。
- The train speeded up as it left the station. 火车离站后开始加速。
- They sang merrily as the train sped onward. 火车向前飞奔，他们欢快地唱着歌。
- RBFNN has the best fitting ability,the faster training speed,no problem of immersing into the partial least point. RBF网络具有最佳逼近性能，同时训练方法快速易行，不存在局部最优问题。
- She was all eyes as the train sped through the country. 当火车穿过田野向前飞驰时，她目不转睛地往外瞧。
- Resistance thanking you for regard , participating in physical training , improving the body muchly, that I do is train speed per hour 250 kilometres. 谢谢你的关心,多参加体育锻炼，提高身体的抵抗力，我干的是火车时速250公里。
- This method doesn"t use high grade gyrometer, and is not sensitive to the gyro drift error and train speed. 该方法不要求采用高精度的陀螺，对陀螺的温漂误差和列车是否匀速运行不敏感。
- And the research also shows that the training speed is fast, the exactness ratio and tolerance ability is inferior to that of the BP network. 用自组织网络分析脉象信号时,网络训练速度较快,但网络的识别正确率和容错性表现不及BP网络。
- The train speeded up soon after it pulled out of the station. 火车出站后不久就加速了。
- He was all eyes as the train sped through the country. 当火车从乡下急驰而过时,他凝神眺望。
- Nowadays, the continuous improvement of the train speed results in the high rate of the freight train digression. 随着我国铁路干线全面提速，货物列车的脱轨事故在每年重大事故中的比率居高不下。
- The train speeds past a home between Wilmington and Baltimore. 火车在新威明顿与巴尔的摩之间的一个村庄飞驰而过。
- Is the train speeding up in order to arrive on time? 这列火车开得这么快是为了赶点进站吧?
- The slow training speed and large storage space for support vector machine are given,a CM-SVM method,in which the C-Mean method is incorporated with the SVM method,is studied. 针对支持向量机在大规模样本学习时,学习速度慢,需要存储空间大等问题,提出了一种将支持向量机方法与C均值方法结合的CM-SVM方法。
- Back Propagation(BP) neural network can be used to forecast Gyroscopic drift.But BP algorithm inclines to fall into local extremum and its training speed is very slow. 作为导航系统核心的惯性器件,陀螺仪在整个导航系统中起着十分重要的作用。
- SMO（Sequential Minimal Optimization） algorithm is a very efficient method for training SVM.However,the training speed of SMO is very slow for the large-scale datasets. 摘要 SMO（序贯最小优化算法）算法是目前解决支持向量机训练问题的一种十分有效的方法,但是当面对大样本数据时,SMO训练速度比较慢。
- The experimental results based on ORL-DATABASE show that the above-mentioned algorithm allows faster training speed and higher accuracy of recognition than traditional ones. 基于ORL数据库的实验表明，综合上述措施的系统比传统方法具有更快的训练速度和更高的识别精度。
- This design is aimed at the shortcoming of the traditional genetic algorithm,such as slow training speed,premature,easy to be trapped into local optimums. 通过使用本方法可以有效地改善了采用传统遗传算法用于处理同类问题时的种群分布不均匀陷入局部最优、未成熟收敛等缺陷。
