1、

On the basis of detection parameters optimization and the defects classification, the radial basis function neural networks ( RBFNN) and the fuzzy Bayesian networks ( FBN) are used to evaluate the defects parameters quantitatively.

在检测参数优化与缺陷分类的基础上,研究采用径向基神经网络(RBFNN)以及模糊贝叶斯网络(FBN)对缺陷参数进行定量化评估的方法。

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2、

The network was compared with recurrent neural network ( RNN) by predicting exhaust gas temperature ( EGT).

分别利用递归神经网络和双隐层过程神经网络对发动机排气温度裕度进行仿真预测。

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3、

Application and Research of Wavelet Neural Network in the Pot Vessel Defect Detection

小波神经网络在罐形容器缺陷检测中的应用研究

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4、

The-time identification via neural network is an important subject in intellectual deep drawing of sheet metal.

运用神经网络技术实现材料性能参数的 实时 识别是智能化拉深的重要研究课题.

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5、

Artificial neural network and its application in near infrared spectroscopy are presented in brief.

简要介绍了人工神经网络及其在近红外光谱分析中的应用。

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6、

In this paper a learning and identification scheme for a class of unknown multivariable nonlinear system using dynamic neural networks ( DNN) is presented.

研究了一类基于动态神经网络的未知非线性多变量系统的鲁棒辨识问题。

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7、

The Inducing Role of Sertoli Cells and Its DHH Gene on Differentiation of Neural Precursor Cells from Embryonic Mesencephalon of Rat in Vitro

Sertoli细胞促进大鼠胚胎中脑神经前体细胞分化的作用及其对Sertoli细胞DHH基因的相关研究

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8、

The Tension Adaptive Control for Drawbench Based on Neural Network

基于神经网络的拉丝机恒张力自适应控制

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9、

Design and Application of the Artificial Neural Network Based on DLF in the Multivariable and Nonlinear System

DLF神经网络在多变量非线性系统中的设计与应用

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10、

The neural network used is called DLF network, which is the combination of multilayer feedforward network with linear model.

所采用的网络为一种将线性模型与多层前向网络相结合的DLF网络。

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11、

Creating model of load and settlement on single DJM based on Neural Network

基于神经网络的粉喷单桩荷载-沉降关系建模

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12、

Study of the CRW and the Cropland Soil Moisture Content Forecast under Mulched Drip Irrigation on BP Neural Network

基于BP人工神经网络的膜下滴灌作物水分响应及农田墒情预报模型研究

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13、

The contradiction between precision and quantity in calculation can be resolved effectively by using artificial neural network.

采用人工神经元网络理论则可以有效地解决计算的准确性与计算量之间的矛盾。本文利用改进的Boosting算法构造了多神经网络集成的预测模型,对无刷直流电机的反电势进行了准确预测。

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14、

Chinese dialect identification system based on a mixed SOM neural network and SVM is proposed in this paper.

建立了一个基于SOM神经网络和支持向量机(SVM)的汉语方言辨识系统。

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15、

Implicit memory and explicit memory are two distinct memory systems underlying different neural substrates.

内隐记忆和外显记忆是两种不同的记忆系统,它们与大脑的不同区域相联系.

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16、

Research on real time control of hydraulic elevator based on CMAC neural networks.

基于CMAC神经网络的液压电梯实时控制研究.

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17、

The result showed that layered multi-subnet neural network was suitable to online eddy current testing.

结果表明,层次式多子网神经网络适用于实时在线检测.

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18、

RECURRENT NEURAL NETWORK-BASED PORTFOLIO INVESTMENT?

基于递归神经网络的证券组合投资( 英文 )

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19、

Comparison has been made among the global average statistic method, the parallel line extending method, the polynomial curvefitting method, the mirror extending method and the neural networks extending method.

对全局统计平均法、平行线段延拓极值法、多项式拟合法、镜像延拓法、神经网络延拓法等抑制方法进行对比研究。

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20、

By adopting fuzzy neural networks method, the cooperation CWA model of multi-input and multi-output is established which is used in supporting vehicle collision warning system.

基于报警准则采用模糊神经网络方法,提出一种多输入、多输出的协作预警算法模型,用于支持碰撞预警系统。

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