胡尔特估计不好的教育方法，特别是她在日本看到的tote学习法，可能是比较尽管很用功但是成绩差的原因。
Mr Hult reckons that poor methods, particularly the rote learning he sees in Japan, can be responsible for poor results despite strenuous efforts.
最后，探讨了动态一致性检验的频谱(经典谱和最大熵谱)比较法，包括平稳序列频谱的估计和比较。
In the end, spectrum (classical spectrum and maximum entropy spectrum) comparative methods of dynamic consistency validation are discussed, including compare and estimation of stable series spectrum.
与传统光流法、M估计法比较，该算法只在压缩域上进行，不需迭代，具较强实时性。
Compared with traditional optical flow and m estimation methods, the proposed algorithm only calculates in the DC domain and does not iterate, so it can segment almost in real time.
目的比较运动单位数目估计(mune)法和传统肌电图(EMG)在神经肌肉疾病中的诊断价值。
Objective to compare the clinical significance of motor unit number estimates (MUNE) and conventional electromyogram (EMG) in the evaluation of neuromuscular disorders.
在多普勒调频斜率估计中，时频分析法比较直观，估计精度也不错，脱机处理中获得了广泛的应用，图像偏移法估计速度快，在运动补偿中得到了应用。
Image offset method that is also fast can be applied to motion compensation, time-frequency method is intuitionistic and have a better accurate, which is applied extensively on offline.
通过假想水文资料检验这一方法，并与矩法的估计值相比较，结果表明本文提出的方法优于矩法。
The verification using ideal hydrographic data shows that the proposed method is better than the moment method.
基于信息扩散理论提出直接估计低温冷害、干旱和洪涝的风险评估方法，以低温冷害为例，将计算结果与风险指数法和主观频率法做比较。
This research raised the method in risk assessment of low temperature and cold damage, drought and flood disaster based on information diffusion theory.
对生命表法和乘积限估计法应用上的特点进行了比较，同时还对特殊的寿命数据类型——截断数据做了简要介绍。
Comparisons are made on the features of the life table Method and the Product-Limit Estimation in life table constructing procedure. A special type of life data, the truncated data, is introduced.
进行了新方法、原贝叶斯高分辨方位估计方法与多重信号特征法（MUSIC）和极大似然估计法（MLE）的性能比较研究，揭示了新方法的优越性。
The new method and original Bayesian high-resolution DOA estimator are compared with other typical methods like MUSIC and MLE, and the superiority of the new method is revealed.
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and m…
本研究选取比较有代表性的几种空间估计方法：传统空间插值方法中的反距离加权法和趋势面法；
The study selects some representative methods of estimation in spatial variables as objects, including Inverse Distance Weighting in the traditional space estimation;
最大熵法与Welch法估计的功率谱的比较。
Maximum entropy method and Welch 's power spectrum estimation comparison.
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and maximum likelihood …
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and maximum likelihood …
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