最后，提出了一种基于混合神经网络的入侵检测系统模型。
Finally, an intrusion detection system model based on hybrid neural network is presented.
利用动态学习率改进BP算法，建立了混合神经网络模型。
A mixed NN model is constructed using BP algorithm improved with dynamic learning rate.
本文提出了一种应用混合神经网络进行颗粒图像检测的方法。
This paper proposes an edge detection method of globular material using hybrid neural network.
提出了一种新的混合神经网络建模方法——结构逼近式混合神经网络。
A new hybrid neural networks modeling approach, named structure approaching hybrid neural network (SAHNN) is presented in this paper.
提出了两个动态神经网络串联的混合神经网络动态迟滞模型，用以逼近压电陶瓷的迟滞特性。
The hybrid neural network dynamic hysteresis model, which consists of two dynamic neural networks in a cascade form, is proposed to approximate the hysteresis characteristics of piezoceramic actuator.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
采用混合神经网络调度法对玻璃钢拖网渔船进行技术经济论证，结果表明，该方法能够提高优化结果的效率和鲁棒性。
A practical case of technological and economical collaborative evaluation for FPR trawler vessels demonstrates that the proposed method is of better efficiency and robust.
当被控对象的特性发生变化时，可对混合神经网络权值及时进行修正并调整控制器参数使控制系统始终保持良好的控制性能。
The control system can adjust the weights of hybrid neural network and the parameters of controller timely to keep good control performance when the character of controlled plant varies.
讨论了混合时滞区间神经网络的全局鲁棒指数稳定性。
The global robust exponential stability is investigated for interval neural networks with mixed delay.
粗集和神经网络相结合反映的是人类智能的定性和定量、清晰和隐含、串行和并行相互交叉混合的常规思维机理。
Rough set integrated neural network method reflects the human's normal thinking mechanism which mixes the method of quantitative and qualitative, clear and uncertain, serial and parallel.
将本文提出的带新型混合算法的神经网络应用于火山岩的油气识别，应用表明了本文提出的方案的有效性。
It is applied neural network with new hybrid algorithms to the oil gas recognition of deep volcanic rocks reservoir, and it is proved the validity of the scheme.
该模型属非线性混合整数规划问题，采用神经网络方法求解，并给出了计算机软件算法框图。
This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.
并在此基础上构建了一个基于粗集一神经网络的智能混合故障诊断系统。
Herein, intelligence hybrid system based on rough sets and neural network for fault diagnosis is established in this paper.
介绍了采用热催化传感器在不同的工作温度下，通过BP人工神经网络对可燃混合气体进行分析的新方法。
A new method of analysis to mixed inflammable gas with a heat catalytic sensor worked in different conditions through BP artificial neural network is introduced.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
利用人工神经网络技术和分光光度法不经分离直接测定饮料中的混合色素。
A new approach to simultaneously determine mixed colorants in beverages by spectrophotometry based on evolutionary neural networks without preliminary chemical separation was studied.
针对传统专家系统和神经网络的各自特点，将两者有机结合，构造了一种基于神经网络的混合型故障诊断专家系统。
According to the characters of traditional expert system and neural network, a neutral - network - based mixed fault diagnosis expert system was designed.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
提出一种新的耦合神经网络的实例与知识混合推理策略。
A new hybrid reasoning strategy based on case and knowledge integrated with neural network is proposed in this paper.
采取运行机理建模和神经网络建模相结合的方式，把输入样本空间进行划分，实现基于混合专家网络的建模。
In the new method, input samples are divided into sub-space and hybrid expert neural networks model is realized.
进而指出，混合优化是改善人工神经网络性能的有效方法之一。
Furthermore, it indicates that compound method is the most effective way to improve the artificial neural network property.
提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient.
在泵系统故障诊断与监测中的应用表明，混合型神经网络能可靠地进行水泵机组故障模式的识别。
Its application to fault diagnosis and state monitoring for a pump system shows that the hybrid neural network may recognize the fault modes in pump units reliably.
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
建立了一种小波软阈值径向基函数神经网络(STWRBFN)方法，同时定量分析了多组分混合物。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
本文提出了一种基于模糊-神经网络混合系统(FNNHS)的图象分割方法。
This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system (FNNHS).
针对可控受限多变量耦合系统，提出了一种基于对角递归神经网络(DRNN)整定的PID混合解耦控制。
According to the limited controllability of the multivariable coupling system, a PID self-tuning mixed decoupling control method based on DRNN is put forward.
针对可控受限多变量耦合系统，提出了一种基于对角递归神经网络(DRNN)整定的PID混合解耦控制。
According to the limited controllability of the multivariable coupling system, a PID self-tuning mixed decoupling control method based on DRNN is put forward.
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