神经网络

The clustering of indigotin and indirubin content of indigowoad root granule was processed. Based on the PCA results, the first seven principal components were applied as ANN-BP input nods, and the 2 predictive indexes were applied as output nods, a testing model of artificial neural networkwith 7-7-2was set up.

在主成分分析的基础上，以每一个样品的前7个主成分作为神经网络的输入节点，成分类型作为神经网络的输出节点，建立一个772的3层BP人工神经网络模型。

Study modelling thought, network configuration, majorize GNNM(1,1) mode method and learning algorithm of GNNM(1,1) mode combined grey system theory and neural network. Based on tunnel construction settlement monitoring of Nanjing Metro NO1, simulate and forecast monitoring data by GM(1,1) mode and GNNM(1,1) mode.

研究了灰色系统理论与神经网络组合的灰色神经网络GNNM(1，1)模型的建模思想、网络结构及其优化GNNM(1，1)模型的方法和学习算法；结合南京地铁一号线隧道结构沉降监测实例，分别运用灰色系统理论GM(1，1)模型和灰色神经网络GNNM(1，1)模型对监测数据进行了模拟与预报。

In view of the special character of artificial neural network used in this application, we offer the batch learning approach and adjust active momental factor.

针对神经网络的该种应用特点，应用了样本集批处理和加入衰减的动量因子两种BP神经网络的改进办法，使神经网络对于训练样本集的学习能力得到了明显提高。

Fifth, it is very promising to combine neural network or fuzzy neural network and adaptive control theory into a adaptive neural network system, aiming at solving the problems of non linearity and nondetermination.

第五，为了较好地解决系统非线性、不确定性的问题，将神经网络、模糊神经网络与自适应控制理论相结合形成自适应神经网络系统是一条有广阔前景的途径。

This method consists of two steps: first, the image is divided into numbers of nonoverlapping blocks and the GMRF parameters are computed for each of these blocks, then a clustering method is used to merge these blocks, a coarse segmentation and texture types of the image are obtained. Second, a deterministic relaxation neural network is constructed, the parameters of the model estimated from the first step are used as input data, through neural network computation, a fine segmentation is obtained.

提出一种基于高斯-马尔可夫随机场和神经网络的无监督纹理分割方法，方法分为两步：第一步先将图像分为不重叠的小块，在小块中计算GMRF参数，并将此参数和该块的均值、方差作为该块的特征向量，然后进行聚类，得到原图像的一个初始分割和图像中所包含的类别数；第二步构造一个决定性松弛的神经网络，将第一步得到的结果作为初始输入，经过神经网络计算，得到一个精确的分割结果。

Differing from the feed-back error compensation method, the selflearning error pre-compensation method offered by the paper is based on both ANN and time series technique to obtain the error pre-compensating curve using the non-linear ANN pre-compensation model. Because of the self-learning character of the ANN, this new type of precompensation model can be self-adjusted.

与常规的反馈补偿方法不同，本文提出的自学习误差预测补偿方法，将时间序列预测与神经网络的自学习自适应优化建模技术相结合，利用神经网络非线性预测模型产生误差预补偿函数，并利用神经网络的自学习特性对所建预测模型进行修正，所以这种新型的误差补偿方法能够获得更高的误差补偿精度和控制速度，简单实用，适于推广，具有生产应用价值。

Neural networks based on local sequence and amino acid component with the best structures and linear equation are constructed. The results of testing to the networks indicate that the forming of cis-proline has distinct relationships with local sequence and amino acid component. A new method for peptidyl prolyl cis/trans conformation prediction based on the theory of support vector machines was introduced. The SVM represents a new approach to supervised pattern classification and has been successfully applied to a wide range of pattern recognition problems.

通过运用神经网络与线性拟合的方法，揭示了脯氨酸局部序列、肽链氨基酸组分对于顺式脯氨酸形成与否的影响，构造了基于局部序列和基于氨基酸组分的最优结构的神经网络，以及线性拟合方程，同时对顺式脯氨酸进行了筛选，结果表明，利用神经网络的方法可以提高顺式脯氨酸筛选时的信噪比，脯氨酸采取顺式还是反式构象与其局部的序列以及整条肽链的氨基酸组分均有较强的关联。

To find more suitable extraction algorithm for neural net recognizers, the applications of LPC sepstrum as well as the RW are investigated, and new procedures for the vector alignment and the normalization are proposed. The Time-Delay Neural Net model is generalized, and two kinds of non-uniformly windowed-time-windowed and component-windowed -pyramidical architectures are proposed.

为寻找比较适合于神经网络识别器的特征提取方法，文中研究了RW法和LPC倒谱系数特征提取法在神经网络中运用，并提出了一种新的时间对准和向量规整的方法；推广了时延神经网络模型，提出时间划分和分量划分两种加非均匀窗的金字塔状结构。

The tight wavelet neural network was constituted taking the nonlinear Morlet wavelet radices as the stimulant function. The idiographic algorithm was presented. It can combine the advantages of wavelet analysis and neural networks.

以非线性Morlet小波基作为激励函数，形成神经元，结合小波变换与神经网络各自的优点，建立集小波分析与神经网络于一体的紧致型小波神经网络，并给出了具体的算法。

The simulation results show that the search-optimization capacity of wavelet chaotic neural network has been improved and the reformative wavelet chaotic neural network is superior to the primary wavelet chaotic neural networks.

仿真结果表明，改善了小波混沌神经网络的寻优能力，改进的小波混沌神经网络优于原来的小波混沌神经网络。

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。