并讨论运用反算法时应考虑的问题。
Discuss the considerable problems when using "back calculation method".
介绍了采用反算法计算悬挂运输设备轨道的容许集中荷载标准值的公式及其应用图表。
Formula for calculating standard values of allowable concentrated loads in railway of hanging lifting equipment is introduced by using reversed calculation and their application.
文章还介绍了ADCP、三维电子罗盘、GPS全球定位系统的定位原理，阐述了白塞尔大地反算法。
This thesis also introduces the principles of ADCP, three-dimensional electronic compass, GPS, and presents the Bessel anti-algorithm.
本文研究的主要内容是图形的反走样算法及其硬件模型研究。
This paper introduces a kind of graph anti-aliasing algorithm and its implement by hardware.
导出了自行查找关联线元的方法，并侧重研究了点对缓和曲线反算问题的算法。
The process of finding the relative point is studied, with an emphasis on the algorithm of inverse point to transition curve .
然后针对计算比较困难的一般反时限曲线，介绍了分区查表和泰勒展开法计算时延累加量的算法。
To resolve the difficulty of progressive time calculating in normal inverse-time overcurrent curve, two algorithms of zonal table-lookup and Taylor expansion are put forward.
对改进算法中二次滤波的噪声方差参数选取采取一种计算反卷积剩余误差的方法，用在第二次滤波步骤中。
The paper also gives an algorithm for estimating the variance of the imaging noises by computing residual deconvolution errors, which is used in the second step of the modified Wiener filter.
首先提出了一种解决盲辨识问题的算法，然后利用辨识得到的系统模型对源输入信号进行反卷积恢复。
The blind inverse identification arithmetic is proposed firstly, and then the input source signal is restored by the deconvolution method using the identified system model.
采用无条件稳定的精细逐步积分法求解结构的模态动力学微分方程，构造了通过结构的模态响应反求荷载列阵的迭代算法。
The highly precise direct integration scheme is used for solving modal dynamic differential equation of the structure nd a dynamic load identification method by the modal responses is proposed.
作者介绍了短波单站定位机理和两种实用的电离层模型，并对基于这两种电离层模型的射线反跟踪算法进行了分析比较。
This author introduces the principle of SSL and two kind of applied ionospheric models and compares and analyses the radial inverse tracking arithmetics based on the two kind of ionospheric models.
介绍一种适用于非线性系统的反卷积算法。
This paper presents a deconvolution algorithm for nonlinear system.
经模拟计算，它比传统的基于最陡下降方法的误差反传（SDBEP）算法具有更好的收敛性能。
Simulation computations show that it converges faster than the conventional steepest descent backwards error propagation (SDBEP) algorithm.
无必要树立一类旧的搜索算法，既可以知脚反在单个地域外查询，又可以扩铺搜索地域到更大的地域，或许者道能反在更大的地图外查询。
So it is necessary to create a new method to query not only in one field but also in a large wider field, or in a larger map.
介绍了采用基于ROM查找表的全数字反离散余弦变换(IDCT)电路的算法原理及其并行架构的大规模集成电路实现。
This paper presented an ROM look-up table (LUT) based inverse discrete cosine transform (IDCT) algorithm and its LSI implementation having parallel architecture.
针对多层前馈网络的误差反传算法存在的收敛速度慢，且易陷入局部极小的缺点，提出了采用微粒群算法（PSO）训练多层前馈网络权值的方法。
The particle swarm optimization(PSO) algorithm, is used to train neural network to solve the drawbacks of BP algorithms which is local minimum and slow convergence.
实验结果表明了反解算法的正确性和控制系统的有效性。
The experimental results show the validity of both the algorithm and the control system.
理论仿真结果表明，采用频域反卷积算法可以在不降低光源脉冲宽度的情况下，将空间分辨率提高四倍。
Numerical simulation shows that the spatial resolution is enhanced by four times using the frequency-domain deconvolution algorithm with high temperature accuracy.
理论和实验结果表明，应用反卷积算法有利于光纤拉曼温度传感器对温度突变点的监测。
The results indicate that the deconvolution algorithm is a beneficial complement for the FRDTS to realize accurate locating and temperature monitoring for sharp temperature variations.
并根据各算法的估计性能特点，提出了一种具有反时限特性的距离保护算法的实现方案。
According to the characteristics of different algorithms, an implementation scheme of distance protection with inverse time characteristic is brought forward.
文章还推导了基于BP的反传学习算法。
Meanwhile, the back propagation learning algorithm is given based on BP.
随后作者又将本文算法同平均分配算法和反信道条件算法做了比较，分析了他们的优缺点。
Then the author compared the new algorithm with the uniform allocating algorithm and the channel reversing algorithm, analyzed their advantages and disadvantages.
随后作者又将本文算法同平均分配算法和反信道条件算法做了比较，分析了他们的优缺点。
Then the author compared the new algorithm with the uniform allocating algorithm and the channel reversing algorithm, analyzed their advantages and disadvantages.
应用推荐