本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.
广义回归神经网络在逼近能力、分类能力和学习速度方面具有较强优势。
General regression neural network is proved with certain superiority in the ability of approaching, classification and learning speed.
再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。
It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression model.
为了实现制浆蒸煮终点的精确预测，建立了基于广义回归神经网络(GRNN)的预测模型。
A model based on general regression neural networks (GRNN) has been established to predict the end point of batch pulping cooking.
针对诊断传感器偏置故障与漂移故障的难点问题，提出了一种基于广义回归神经网络(GRNN)的传感器故障诊断方法。
Aimed at solving the challenging problem of diagnosis for sensor bias and drift faults, a novel approach of sensor fault diagnosis based on generalized regression neural network (GRNN) is proposed.
研究一类具有不对称互连结构的广义时滞神经网络的动态行为。
The dynamic behavior of a class of generalized neural networks with time delay and asymmetric (interconnecting) structure is investigated.
探讨了采用广义BP神经网络理论来进行组合导航定位数据的非线性滤波方法。
A nonlinear filter method is discussed with broad sense BP neural network theory in the integrated navigation system.
无限区间上s -分布时滞广义递归神经网络模型概周期解的全局渐近稳定性。
Global asymptotic stability of general recurrent neural network models with S-type distributed delays on infinite intervals.
研究一类离散和分布时变时滞的混沌神经网络的广义投影同步问题。
In this paper, the problem of general projective synchronization of a class of chaotic neural networks with discrete and distributed time-varying delays is investigated.
广义回归神经网络（GRNN）和遗传算法（GA）都是在模拟人的生理活动进而提出的人工智能技术。
The generalized regression neural network(GRNN) and the genetic algorithm(GA) are regarded as the artificial intelligence techniques.
使用了广义回归神经网络预测视线的位置，从而提取视线运动参数；
And In order to extract gaze features, the Generalized Regression Neural Networks is used for gaze position prediction;
考虑了广义二次规划问题，基于其鞍点的充要条件，提出了求解它的一个神经网络。
This paper considers the extended quadratic programming problem. Based on the necessary and sufficient conditions for a saddle point, a neural network for solving it is proposed.
比较分析了最小二乘支持向量机（LSSVM）和广义回归神经网络（GRNN）这两种方法的特点。
The features of two methods, i. e. least square support vector machine (LSSVM) and generalized regression neural network (GRNN) are compared and analyzed.
本文提出了一种基于分布式知识的广义优化方法——基于KOHONEN神经网络的模拟退火算法。
A generalized optimization method based on distributed knowledge - - - - simulated annealing algorithm based on KOHO-NEN neural network is presented in this paper.
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
文中依据非线性舰船模型，应用模糊神经网络简化出适应于舵减横摇控制器设计的模糊线性模型，并设计了广义预测控制器。
According to the nonlinear model of ship, a predigested fuzzy linear model is built adapted to rudder roll stabilization using fuzzy neural networks.
将人工神经网络（ANN）、广义猫映射及概率统计等知识相结合构造了一种图像空间域水印算法。
The paper, by adopting jointly Artificial Neural Network (ANN), general Amold mapping, and statistical methods, intends to formulate an algorithm based on image spatial domain watermark.
有关广义同余神经网络（GCNN）的初步研究表明，相对于普通BP网络，GCNN具有很快的收敛速度。
Recent studies on Generalized Congruence Neural Network (GCNN) show that the convergence rate of GCNN is faster than that of BP network.
当前研究的目标是设计并实现一个基于神经网络广义预测控制的合适算法。
The objective of the current study is to design and implement a proper algorithm based on NN generalized predictive control (GPC).
针对点云数据的三维重建问题，提出了一种隐曲面重构的广义多项式神经网络新方法。
A new type of generalized polynomials neural network was proposed to reconstruct 3d implicit surface from the scattered points.
本文提出了一种基于广义预测控制和智能神经网络的新型控制方法。
In this paper, a new control method based on predictive control and neural network of intelligent control is proposed.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
结果表明，在训练集样本数据较少时，广义回归神经网络的预测准确度仍然很高。
The results showed that the prediction accuracy is satisfied, even though there are a few data in training sets.
在提出广义模糊推理概念的基础上，提出并分析了广义模糊径向基(rbf)神经网络模型，给出了该网络的广义学习算法。
A new concept of generalized fuzzy inference and the generalized fuzzy RBF network model are presented. The generalized Lear ni ng algorithm of this network model is derived.
本文探讨了神经网络在广义两点边值问题求解中的应用。
The paper discusses the methods to solve these problems with the help of neural network.
提出并实现了一种基于广义人工神经网络和STRAIGHT模型的高效基频轨迹跟踪算法。
This paper proposes an efficient morphing algorithm of pitch based on generalized artificial intelligence and the STRAIGHT model.
本文提出了两种改进算法：基于LM优化的神经网络广义预测控制和基于跳步预测的多网络并行广义预测控制。
Two improved algorithm were proposed: neural network generalized predictive control based on LM optimizer and multi parallel network generalized predictive control based on jump predictive.
结果证明广义回归神经网络用于交通运输量预测的有效性。
The result demonstrates the effectiveness of using GRNN to forecast transport volume.
结果证明广义回归神经网络用于交通运输量预测的有效性。
The result demonstrates the effectiveness of using GRNN to forecast transport volume.
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