查询词典 computational mistake

Simulation results show that the proposed algorithm has a faster convergence rate and much less computational complexity, and the output bit error rate and signal-to interference-plus noise ratio performance are superier to the PASTd blind multiuser detection algorithm and close in on the singular value decomposition group blind multiuser detection algorithm.

仿真结果表明，所提算法收敛速度快，输出信干噪比和误码率性能优于PASTd盲多用户检测，逼近奇异值分解(singular value decomposition， SVD)群盲多用户检测，并保持了较低的计算复杂度。

Simulation results show that this method can improve the tacking accuracy while decreasing the computational burden. It also overcomes the track-lost problem when the object has a little deflexion.

仿真实验表明，本文算法在减少计算量的同时可提高跟踪精度，且可克服目标做小角度旋转时的失跟问题。

This paper studies the main geometrical parameter such as angle, height, width, stagger and the upper width in dentation and trapezoid flow path, firstly, uses the single-phase numerical simulation of the computational fluid dynamics technique to analyse the influence of different geometrical parameter on discharge coefficient and flow state exponent of drip emitter. Secondly, uses the two-phases numerical simulation of CFD (1% sand content ) to analyse the influence of the above mentioned geometrical parameter on the contribution regulation of sand and anti-clogging performance. Thirdly, uses the PIV （ particle Tracking Velocimetry ） technique which can see the small-scale flow path to observe and test the trajectories and velocities of solid particles in labyrinth flow path, and analyses the basic factors which can influence the movement characteristic of solid particles and the flow state in flow path.

本文以齿形流道、梯形流道为主要研究对象，以流道转角、流道高，流道宽、偏差量及梯形流道上底宽为主要结构参数，首先应用 CFD 单相流数值模拟技术对不同结构参数灌水器流道水力性能进行模拟，分析了不同结构参数对流态指数和流量系数的影响，其次，应用 CFD 两相流（含沙量为1%）数值模拟技术分析了结构参数对含沙量分布规律和抗堵塞性能的影响，然后，应用 PIV 可视化测试方法测试了固体颗粒在流道内运行轨迹及速度，分析了影响固体颗粒运动特性及流道内流体流态的基本因素，最后，对上述流道结构形式通过模具加工及滴灌带试制，进行了标准化测试（ GB/T 17187-1997 农业灌溉设备滴头技术规范和试验方法与 ISO 标准 ISO /TC23 /SC18 /WG5N4短周期堵塞测试程序），测试结果验证了 CFD 模拟结果，并提出了迷宫结构流道灌水器的抗堵塞设计方法。

Essential analysis and conclusion has been derivate at last, and the computational result has practical value to consult for this area design.

对其影响规律进行了分析。该研究结果对子母弹气囊抛撒子弹系统设计具有实际参考价值。

To get high numerical stability and computational efficiency, U-D factorization-based DFP and BFGS algorithms are developed.

该算法解决了H阵的正定性问题，保证了算法的数值稳定性，并大大提高了计算效率。

Then, a logic computational diagram is constructed for calculating diametral growth by assuming fatigue cyclic softening, namely yield strength reduction as tubing fatigues.

再通过合理的假设，建立用于计算直径增长的计算机逻辑框图。

The ground state of C2 molecule is studied using VB mehods. The potential energy curves of the C2 diatomic molecule were computed by using ab initio VB methods, VBSCF, BOVB, and VBCI. The computational results show that the VB-based PECs are parallel to that of Full CI calculation.

应用XMVB程序对C2分子的基态进行了理论研究，计算结果表明价键方法能够给出和FCI相平行的解离势能曲线；高级别的VB方法，VBCISD方法，能够得到和高等级分子轨道方法相符的解离能。

The Fourier method and heuristic stability theory for the analysis of the computational stability criterion of the difference scheme of linear partial differential equation are also briefly introduced.

对分析线性偏微分方程差分格式计算稳定性判据的Fourier方法、启发性稳定性分析方法，也做了简要的介绍。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

Advances in molecular and computational biology have led to the development of powerful, high-throughput methods for the analysis of differential gene expression.

在"功能基因组学"蓬勃发展的今天，如何高效分析和分离差异表达基因是进行此类研究的关键。

This matter overthrew all basises I learned from Sunday school .

这件事把我从周日学校学到的所有道理都颠覆了。

It's one of the cruel ironies of aging: if you want to remember your favorite restaurants, the less you should eat at them.

这是一个老化的残酷讽刺：如果你想记住你最喜欢的餐馆，你应该更少吃到它们。