神经网络

A neural network based method for compensating dynamic inversion error is introduced in this paper and is applied in the control of a supermaneuver ing aircraft.

讨论了一种基于神经网络自适应补偿动态逆误差的方法，并应用于超机动飞机控制器设计中。

This paper introduces the basic concept of thermal error compensation technology in NC machine tool.

阐述了数控机床热误差补偿技术的基本概念，提出了一种基于人工神经网络的数控机床热误差模型预报补偿系统，介绍了该方法的原理，并对该系统的建立及相关技术进行了讨

On control method, used be based on compensatory of system of RBF nerve network PD is algorithmic.

在控制方法上，采用了基于RBF神经网络系统补偿的PD算法。

Now there are some special algorithms such as Genetic Algorithm, Neural Network and Simulated Annealing Algorithms are effective ways to solve NP-complete problem. However, in the case of larger scale, especially in the studying of strong vertex-distinguishing total coloring for complete graph, they will show some of the inevitable shortcomings.

现已有一些经典算法如遗传算法、神经网络、模拟退火算法等是求解这类NP完全问题的有效方法，但在规模增大的情况下，特别是在完全图的点可区别强全染色的应用中，它们会表现出一些不可避免的缺陷。

And based on those measures two I/O linear scalable feature selection algorithms, StaFSOS and EnFSOS, are accurately constructed. 2 On the basis of Quotient Space theory and EnFSOS , granular transformation RBF classification model, GTM-CORBUNfast is constructed. The correctness of this model is proved by complete partial lattice, lattice tree search and property preserved theorems.

二、根据商空间理论，结合本文在特征选择和RBF神经网络的研究结果，给出了基于粒度变换的分类器构造模型GTM-CORBUN〓，并证明了其对应粒度变换的完备半序格、格树搜索和分类判别函数的性质保持性定理。

A new method for the optimization of materials design—PatternRecognition-Artificial Neural Network was studied in this dissertation, and applied it to the solution of problems with long cycle of experiment, complex affecting factors and uncertainty reaction mechanism.

本论文是对一种材料优化设计新方法——模式识别-人工神经网络方法进行研究，并用于解决新材料开发过程中常遇到试验周期长，影响因素复杂，反应机理不明等难题。

Signal processing approach presented in this paper based on neural network algorithm (spectral analysis, Random noise filtering) does not involve the complex multiplication and addition operations. Its computing accuracy is high. It is particularly suitable for the implementation of software and hardware based on DSP chip.

所提出的基于神经网络算法的信号处理方法(频谱分析、随机噪声滤波)不涉及复数的乘法运算和复数的加法运算，计算精度高，特别适合基于DSP芯片的软、硬件实现。

To RPC, the fluidity was usually a key index, because it directly reflected the work-ability. The effect factors were complex, however, the quantity relation between the RPC fluidity and its effect factors could not be expressed with a uniform numeric formula. There was no effective method for this problem at present. In accordance, a numeric method which used for controlling the RPC fluidity was advanced. The neural network model based on genetic algorithm was introduced for a aptitude method consequently.

流动度是RPC配制的一个关键指标，它直接反映了其工作性的优劣，但其影响因素复杂，难以用统一的数值关系直接描述RPC流动度与其影响因素的量化关系，目前还没有合适的计算方法，为此，提出控制RPC流动度的数值方法，即引入遗传神经网络对RPC的流动度进行预测控制。

The artificial neural network has very strong information processing, memory and study the function by itself, but because its algorithm complicatedness, learning process are longer, the parameter disappears slowly etc. to make its application limited.

人工神经网络具有很强的信息处理、记忆及自学习功能，但由于其算法复杂、学习过程较长、参数收敛慢等使其应用受到限制。

In addition, a training algorithm based on a composite object function is proposed. This algorithm simplified the form of the composite object function and use adaptive method to adjust parameter of the composite object function so that the training speed is increased in the later period.

此外，还提出了一种基于综合目标函数的神经网络训练算法，在该算法中对综合目标函数进行了简化，并采用自适应的方法来调整目标函数的参数，使训练后期的收敛速度明显提高。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。