STORE函数同时在主数组和辅数组(常规和反向映射)中创建一个项。
The STORE function creates an entry in both the primary and the secondary array (normal and reverse mapping).
这些例程通常称为回调函数，因为在操作发生时会反向调用它们。
These routines are typically named callback functions, as they're called back to work upon some action.
删除函数略微有些复杂，因为我们还想删除正在删除的键的反向映射。
Deletions are a little more complex, because we also want to delete the reverse mapping for the key we're deleting.
反向索引：map函数对每个文档进行索引分析，产生一串数据对。
Inverted Index: The map function parses each document, and emits a sequence of pairs.
唯一所需要的映射是xy2index函数；我编写了一个名为index2xy的反向映射函数，但是没必要使用它。
The function xy2index was the only mapping needed; I wrote a reverse function called index2xy but did not need to use it.
该函数按时间反向移动各帧，从图像序列的最后一幅到最前一幅。
This function moves each frame back in time from the last image in the sequence to the first.
PHP有一个有用的反射API，它允许我们对类、接口、函数和方法执行反向工程。
PHP has a useful reflection API, which allows us to reverse-engineer classes, interfaces, functions, and methods.
前向网络利用反向传播算法训练多层网络，使训练后的网络较好地拟合样本空间中各点的函数值。
Feedforward networks use back propagation algorithm to train a multi-layer network. After training, the multi-layer network can fit the function in the data space very well.
该技术充分利用了PN结反向饱和电流是温度敏感函数的特性，使用简单的电路结构，达到了很好的温度特性和电源抑制性能。
The sensitive temperature characteristics of PN junction inverse saturation current is fully utilized to obtain good temperature coefficient and PSRR with simple circuit structure.
探讨了利用反向传播神经网络和BP算法确定市场响应函数的方法。
This paper discusses backpropagation neural network model and BP algorithm to determine market response functions.
“调用堆栈”窗口反向沿调用堆栈进行调试，查找作为参数传递给函数的已损坏数据。
Call stack window to work your way back up the call stack, looking for corrupted data being passed as a parameter to a function.
通过找出其隐式函数关系，误差反向传播神经网络可以实现输入和输出间的任意映射。
With the implicit function relation, BP (Back Propagation) neural network can easily realize the mapping between input data and output data.
研究将实测结构频率响应函数作为反向传递人工神经网络的输入数据，用来进行结构健康检测。
This paper deals with the structural health detection using measured frequency response functions (FRFs) as input data toa back propagation (BP) artificial neural networks (ANNs).
通过构造反向传播神经网络，对裂纹尖端的应力场进行模拟，进而实现对裂纹尖端应力场函数的逼近。
The stress field around the crack tip is simulated via the constructed Back-Propagation Neural Network (BPNN) whereby achieving the approximation of the stress field around the crack tip.
然后利用拉格朗日乘数法与隐函数定理，求出了使其中一不等式局部反向的临界值。
Furthermore, utilizing the Lagrange method of multipliers and the implicit theorem to work out the critical value which makes one of those inequality locally inverted.
结论反向传播网络在函数逼近方面差的原因是激励函数的全局性、隐层结点数目的不确定性。
Conclusion Because of the inspirit function's globaling and the number of the Hidden Layer'node uncertainty the BPNN was not done well.
利用优化函数的梯度阵和海森矩阵建立函数的二阶近似表达式在已确定的优化结果反向计算结构参数。
To reversely calculate structural parameters by using second-order approximate expression of the gradient matrix and Hessian matrix for optimization function in identified optimization results.
考虑离散型反向式网络，给出网络稳定性的一种判据，并把熟知的“能量函数”判据作为特款；
The discrete feedback neural networks are focused. First, a general criterion on the stability of networks is given, the energy function can be regarded as a special case of the criterion.
通过实验比较 ，径向基函数网络较反向传播算法网络更适合于肌电信号这类非线性系统建模。
Through comparing with BP networks performance, we found that RBF networks achieve better result in and are suitable for modeling a non-linear system such as EMG.
通过实验比较 ，径向基函数网络较反向传播算法网络更适合于肌电信号这类非线性系统建模。
Through comparing with BP networks performance, we found that RBF networks achieve better result in and are suitable for modeling a non-linear system such as EMG.
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