Neural networks的例句大全

It can train polynomial function, neural networks, or radial basis function ( RBF ) classifiers .

它可以对多项式函数, 神经网络, 径向 基函数 进行训练.

Neural networks have a few advantages, such as adaptive learning, parallelism , fault tolerance, and generalization.

神经网络则具有从数据中学习的能力 、 并行处理能力 、 容错以及泛化能力.

Based upon neural networks, a nonlinear mathematical model of the protraction for the die-bolt is developed.

基于神经网络建立热膨胀螺栓形变的非线性数学模型.

This paper introduces an improved method for image KL transform based on neural networks.

本文提出了一种基于神经网络的图像KL变换的改进方法.

Gradient algorithm has been widely used for training the weights of feedforward neural networks.

梯度算法广泛应用于训练前馈神经网络.

The effects correcting fault location due to components tolerance are reduced of extensiveness of neural networks.

同时,利用神经网络的泛化性,有效地克服了容差因素对故障定位的影响.

Existence and Attractivity of Almost Periodic Solutions of Hopfield Neural Networks

Hopfield神经网络概周期解的存在性和全局吸引性

Neural networks are computer systems which mimic the workings of the brain.

神经网络是模拟大脑工作方式的计算机系统。

The result demonstrates that NGA is better than the traditional GA in training neural networks.

实验表明，NGA比用传统的GA训练神经网络效果要优。

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。

Neural networks use RBF networks, the simulation can achieve better results, the moderate cost of training, applied to forecast the performance of compressors and fault-line diagnosis.

神经网络采用径向基函数（RBF）网络，能够取得较好的仿真效果，训练代价适中，适用于压缩机的性能预测和故障的在线诊断。

Demo of Bard Ermentrout's XPP. Chemical Reaction Networks Versus Neural Networks. Global Stability of Symmetric Networks.

巴德.门特劳德的xpp展示. 化学反应网路与神经网路的比较. 对称网路的整体稳定性.

The neural networks is adopted to forecast Shanghai stock indexes. The result of emulation indicates that the neural networks has better global convergence and higher training efficiency and forecasting precision.

将该神经网络用于上证指数的趋势预测，仿真结果表明：该神经网络比BP神经网络具有更好的全局收敛性、更高的学习效率和预测精度。

A Multilayer fault-tolerance neural networks fault diagnosis baed on rough sets method is presented after we summarize rough neural networks in existence.

在总结现有粗糙神经网络研究状况的基础上，提出了一种基于粗糙集的多层容错神经网络故障诊断方法。

This paper briefly introduces Neural Networks and by applying Neural Networks on the data of Gyratory Crusher as examples, it analyses and discusses the application of Network in prediction, classification and control on mine equipment.

介绍了Neural Networks技术，并通过其在旋回式破碎机数据上的应用实例，分析和讨论了该Networks在矿山设备的预测、分级及控制方面的应用。

The self-organization process neural networks ( FPNN ) consists of input layer and competition layer and output layer.

自组织过程神经元网络 ( FPNN ) 由输入层、竞争层和输出层组成.

ART 2 Neural Networks with More Vigorous Vigilance Test Criterion

具有更严格警戒测试准则的ART2神经网络

Study of construction bidding system based on neural networks

基于神经网络的建筑行业投标报价研究

Benzyl penicillin potassium and other twenty-four antibiotic drugs were recognized using neural networks.

运用神经网络识别青霉素钾等24种抗生素药物的红外光谱。

Simultaneous Determination of Benzene and Methyl Benzene by Artificial Neural Networks Ultraviolet Spectrophotometry

人工神经网络紫外分光光度法同时测定苯和甲苯