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神经网络

n.neural networks; nerve net
网络Neural Networks; NN; ANN

神经网络

英-汉网络释义

神经网络

neural network

神经网络在电力电子中的应用，介绍了基于神经网络（neural network）的逆变器和传动装置的控制方法.保存到微盘为资料评 …

Neural Networks

Fringe片头中的启示 – 《危机边缘》影评 ... Reanimation 复苏术 Neural networks 神经网络 telepathy 心灵感应 ...

NN

...网络（），），是由大量的简单处理单元也简称为神经网络（NN），是由大量的简单处理单元经广泛并行互连形成的一种 …

ANN

接触神经网络(ANN)的时间很长了，以前也只是学了学原理，做过一个BPN的练习，没有系统的总结过，最近看Torch的源码， …

BP

神经网络(BP)系列(1)关于样本的归一和反归一(598) AT&T提前行动美国两大移动巨头展开4G大战(533) 傅立叶变换的深入理解(…

Neural Network,NN

神经网络（Neural Network, NN）属于信息科学理论范畴，它是由大量神经元构成的非线性动力学系统，它具有很强的自学习、 …

NNs

应用神经网络（NNS）和自适应模糊神经推理系统（ANFIS）预测模型已遍布在过去的二十年。

例句：

A simulation example indicates the forecast precision of the ANN-ARMA model to be superior to that of the ANN model .

仿真结果表明，集成模型的预测精度高于单一的人工神经网络模型。

In practice , we still can only use artificial neural network as a copper price forecasting methods one of which should not be the only one.

在实务上，我们仍只能把人工神经网络作为期铜价格预测方法中的一种，而不应是唯一的一种。

The trained neural network model of this system , network model after training of can be able to predict water quality of the breeding ponds .

该系统训练后的神经网络模型，能实现对养殖池塘水质的预测。

The simulation shows the improved GA is feasible and the control effect of this controller is superior to that of FLC and LQR.

仿真结果表明，改进的遗传算法是有效的，新型模糊神经网络控制器的控制效果优于 FLC 和 LQR 控制。

In the 1990s , improving your neural networks might have seemed as simple as popping a ginkgo supplement and opening up the Sunday crossword .

在上世纪九十年代，改进你的神经网络大概就跟服用银杏膳食补充剂和周末做做填字游戏一样简单。

We have explained the basics of the neural net in a way that should allow you to begin to apply them in your own coding .

本文从某种程度上阐述了神经网络的基础，使您能够开始在您自己的编码过程中应用它们。

On the basis of that, the relations between the former and the latter is built up with the artificial neutral network technique .

在此基础上，通过人工神经网络技术在服装面料形态特征和织物有关性能指标之间建立起联系。

For a more relevant test of Psyco, I dug up some neural network code that I had written about in an earlier article (see Resources ).

为进行更恰当的 Psyco 测试，我搜寻出我在以前的文章里编写的一些神经网络代码（请参阅 “参考资料 ”）。

Artificial neural network is one of information precessing techniques which have been developing rapidly recent years .

人工神经网络是近年来迅速发展的信息处理技术之一。

The new algorithm is applied to the algorithm of manifold learning and analyzed by experiment at the last part of the paper .

本文最后将改进后的自组织映射神经网络应用到流形学习算法中进行了简单的实验分析。

A neural net that uses this rule is known as a perceptron , and this rule is called the perceptron learning rule .

一个使用这个规则的神经网络称为感知器，并且这个规则被称为感知器学习规则。

This paper presents weight elimination algorithm , one of the pruning algorithms , and its pruning mechanism .

该文讨论了一类神经网络剪枝算法 ——权衰减法的工作原理，并给出了其剪枝机理。

In this paper , a new neural network consisting of a Self-organizing Feature Map Neural Network and a Tree-based Neural Network is proposed .

针对以上问题，本文通过组合自组织神经网络和基于判决树的神经网络，提出了一种新的神经网络。

Conventional neural network is always complicated and its stability often suffers from the effect of initial weight value selecting.

神经网络控制算法的稳定性又受到迭代初值的影响，且算法复杂。

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