neural network的例句大全

The Recognition of the Cervical Smear Based on Artificial Neural Network

基于人工神经网络的子宫颈癌细胞识别

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BMAC Neural Network and Its Application in Function Learning

BMAC网络及其在函数学习中的应用

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In response to these problems, this paper combined bidirectional extreme learning machine with online sequential extreme learning machine for power transmission line deicing robot system approximation, and then fuzzy neural network is designed as a robot controller.

针对上述问题，本文结合双端极限学习机与序贯极限学习机对高压输电线路除冰机器人进行系统辨识，然后再利用模糊神经网络作为系统控制器。

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Nash Equilibrium Solution by Extremum Seeking Algorithm Based on Annealing Recurrent Neural Network

利用退火回归神经网络极值搜索算法求纳什均衡解

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A uniform design based neural network model for amino acid composition and optimum temperature of alcohol dehydrogenase

乙醇脱氢酶氨基酸组成和最适温度均匀设计的神经网络模型

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Based on the three-layer neural network with single output, we derive a new weight updating rule for applying TD(λ) in CCCG.

基于单输出的神经网络，通过将TD（λ）算法引入到中国象棋计算机博弈中，我们推导出了套新的神经网络权值更新规则。

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Cellular Location Algorithm with Less Information Based on Optimized BP Neural Network by AGA

基于AGA优化BP网络的小信息量蜂窝网定位算法

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An available Neural Network Toolbox ( NNT) in MATLAB, however, solves the problem.

而MATLAB软件提供了一个现成的神经网络工具箱（Neural Network Toolbox，简称NNT），为解决这个难题提供了便利条件。

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The system uses fuzzy Bayesian algorithm, decision tree, neural network, fuzzy detection.

该系统使用模糊算法中的贝叶斯，决策树，神经网络进行模糊检测。

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The improved EBP neural network algorithm is used in this system.

提出了对传统EBP神经网络算法的改进方法.

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This paper proposed a gait recognition method based on Fourier Descriptors ( FDs ) and Artificial Neural Network.

提出了一种基于傅立叶描述子和神经网络的步态识别方法.

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Based on Fuzzy Neural Network ( FNN ), an intelligent adaptive sliding mode guidance law is presented.

在自适应滑模导引律的基础上,提出了一种基于模糊神经网络 ( FNN ) 的自适应滑模导引律.

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The theory of fuzzy neural network ( FNN ) modeling for nonlinear systems is presented.

摘要论述了模糊系统和 神经 网络相结合的非线性系统辨识理论.

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An optimization design method was proposed for a Fuzzy-Neural Network ( FNN ) structure based on chaotic variables.

基于混沌变量,提出一种关于模糊 神经 网络结构的优化设计方法.

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A solving plan of prediction of frequency-hopping signals-the RBF neural network is presented.

提出了一种跳频信号频率预测的解决方案———RBF神经网络.

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Intelligence controller loop composed of RBF neural network regulates the pattern.

在本课题研究过程中,为了说明RBF神经网络智能控制器的优点.

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Then, slag signal can be identified by using RBF neural network automatically.

然后, 利用RBF神经 网络实现正常浇铸和下渣信号的自动识别.

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In this paper, a new faut diagnosis method combining wavelet-energy and RBF neural network is proposed.

提出了一种基于小波能量和RBF神经网络相结合的钢水连铸下渣的自动检测方法.

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Compared with RBF neural network, SVM has higher diagnosis accuracy on compound fault samples.

对复合故障样本诊断准确度较RBF神经网络高.

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Thus fuzzy neural network controller based on RLS algorithm has a good prospect appliance in practice.

因此基于修正RLS算法 的模糊神经网络控制器应用于实践中有着比较理想的前景.

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