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This paper has given a thorough investigation into theapplication of BP neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data.

文摘：对BP神经网络在重力密度界面反演以及小波分析在位场分离上的应用进行了深入的研究，进而对小波神经网络在重磁资料反演中的应用前景进行了分析、评价。

The results showed that neural network structure of tobacco aroma components was global optimized, and the neural network trained by genetic algorithm was more efficient and correct than by gradient descent method .

结果表明，使用该方法能全局优化基于烟草致香成分的神经网络结构，较之梯度下降法的神经网络的训练效率更高，得到的识别结果也更加准确。

By transforming the delayed neural model to the describer model and then employing the Lyapunov-Krasovskii stability theorem, linear matrix inequality LMI technique, S procedure, and some algebraic inequality method, a new sufficient condition is derived, which is determined by the coefficients of the model and includes more tuning parameters for determining the globally asymptotical stability of recurrent neural networks with time-varying delay.

首先将要研究的模型转化为描述系统模型，然后利用Lyapunov-Krasovskii稳定性定理、线性矩阵不等式技术、S过程和代数不等式方法，得到了确保时变时滞递归神经网络渐近稳定性的新的充分条件，并将它应用于常时滞神经网络和时滞细胞神经网络模型，分别得到了相应的全局渐近稳定性条件。

Thirdly, in order to improve the learning efficiency and stability of feedforward neural network, a fast learning algorithm for neural networks based on CGM-OC approach is presented. Compared with other learning methods such as BP method, Broyden Flecher Goldfarl Shanno method and Powell method in which the derivative is replaced by the difference quotient etc, simulation results show that the proposed method is an efficient and fast one.

第三，为了提高前馈神经网络权值的学习效率及稳定性，提出一种基于正交校正共轭梯度优化方法的神经网络学习算法，通过与其它学习算法（如：BP算法、变尺度法、用差商近似代替导数的Powell法等）的比较，经仿真试验表明，本算法是一种高效、快速的学习算法。

BACKGROUND: Neural stem cells have the potential of self-proliferation and multiple directional differentiation, and can differentiate into various cells in the neural system under a certain condition.

摘要背景：神经干细胞具有自我增殖能力和多向分化潜能，一定条件下可以分化成神经系统的各种细胞，因此在神经损伤修复方面有着良好的应用前景。

BACKGROUND: Effective proliferation in vitro of neural stem cells and directional induction and differentiation of dopaminergic neurons play a key role in neural stem cell transplantation for treatment of degeneration of the nervous system and repair of injured nervous system.

背景：在神经干细胞移植治疗神经系统退行性变及修复神经系统功能损伤过程中，有效的神经干细胞体外增殖与多巴胺能神经元的定向诱导分化尤为关键。

Using BP algorithm of feed-forward neural network in fuzzy neural network, the small disjunction samples are further processed.

采用模糊神经网络中的前向神经网络BP算法对小分裂样本进行进一步处理。

So it is difficult to distinguish them using traditional neural network classification. A face distinguishment approach based on multi-stage neural networks is proposed.

为此，本文提出一种基于多级分类神经网络级联的人脸判别方法，通过把基于不同颜色分量的多级神经网络级联起来，并利用不同颜色分量由于来源、定义、算法的不同而体现出来的不同特性，以不同的颜色分量图象作为各级神经网络的分类特征，有效提高了人脸判别的正确率。

By cascading multi-stage neural networks of different color components and using different components as classifying features of each stage of neural networks, the rate of face distinguishment is increased.

在输入图象的预处理方面，本文提出一种人脸掩膜处理方法，可以滤除输入图象中人脸轮廓以外的背景成分，减少其对人脸判别的影响。

By means of the projection method,adding a small disturbing function to the objective function, the penalty method, andthe gradient method, this dissertation proposes several neural networks for solvingsaddle point problems and minimum radius of ball-coverings problems, and investi-gates the stability of the proposed networks by the LaSalle invariance principle andthe Lyapunov method, so as to design neural networks which avoid getting stuck inthe local minimum.

本文针对约束鞍点问题和球覆盖最小半径的计算问题，分别利用投影法、对目标函数加上很小"扰动函数"的逼近法、罚函数法和梯度法等建立神经网络模型进行求解，并基于LaSalle不变集原理和Lyapunov直接法等工具，对模型的动态特性进行研究，从而设计出避免陷入局部极小的优化计算神经网络模型。

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。