网络模型

m层模糊优选BP神经网络模型及算法

M Layers Fuzzy Optimum BP Neural Network Model and Its Algorithm

冬小麦田间墒情预报的BP神经网络模型

Back-propagation neural network model for soil moisture forecast of winter wheat field

神经网络模型对DNA序列分类问题的应用

The Application of the Neural Network Patterns in DNA Series Classification

预测煤矿回采工作面产量的BP网络模型

BP Neural Network Modeling for Predicting Coal Production of Working Face

描述了混沌在模式识别中的作用，指出了其相对ART等传统神经网络模型的一些优势。

We point out some advantages , comparing our model with those traditional neural network models like ART .

新的组合激活函数BP网络模型研究

A Study on BP Networks with Combined Activation Functions

通过收集到的边坡角的实例，对所建立的BP网络模型进行训练与预测。

By example , train the BP Networks , then predict the practical slope angle .

同时，给出多agent集成系统的工作机理，并设计出多agent集成系统的网络模型；

Secondly , it has given the running principium of Multi-agent integration systems and designed the structure of the Multi-agent network ;

文中还给出了用通用DSP芯片实现神经网络模型的快速计算方法。

The dissertation still puts forward the way of realize NN modeling with general DSP chips .

模型II和未改进的网络模型效果相似，精度有所提高。

The model ⅱ and the not improved network model are similar , its precision is increased .

GC感受野的双高斯差和外周相互抑制网络模型的空间响应特性

Study on Spatial Response Distribution of DOG Model and Disinhibition Model of GC Receptive Field

用TM图象估算海表面叶绿素浓度的神经网络模型

A neural network model for estimating sea surface chlorophyll from thematic mapper imagery

适应性主体BA生长网络模型

Adaptive Agent 's BA Growth Network Model

选用反向传播神经网络模型（BP网络），网络识别所需要的特征参数能够反映木材缺陷的全部特征。

Back propagation networks was used to recognize all the characteristic parameters , which can reflect all the characteristics of wood defects .

通过模型比较，该模型拟合精度优于G（M1,1）模型和BP网络模型。

Through the comparison , the precision of fitting of the model is better than GM ( 1,1 ) model and BP model .

防空兵群火力单位机动部署的Hopfield神经网络模型研究

Hopfield neural network model for flexible deployment of air-defense group fire unit

动态Hopfield神经网络模型及学习算法

Dynamic Hopfield Neural Networks Model and Its Learning Algorithm

微机仿SLAM网络模型模拟语言及其在矿业中的应用

Network Modeling Method and SLAM-like Network Package and their Application in Mines

分层递阶控制系统体系结构的Hopfield网络模型

Hopfield Neural Network Model for Hierarchic Control Architecture

并结合研究结果，对中长期水文预报BP网络模型的参数优选提出了一些建议。

Some propositions are putted forward for BP network model parameter optimization of medium and long term hydrological forecast in the light of research result .

以织物的基本的结构和热湿性能指标为输入参数，以针织内衣的热湿舒适性能为输出参数，建立BP人工神经网络模型。

We take the basic construction and heat-moisture property as the input parameter and take the heat-moisture as the output parameter , and then a model is established .

因此，论文中提出了分阶段实现对象模型的方法，即将温度按照工艺要求分成相应的几个阶段，对各个阶段建立阶段的BP网络模型。

So the stage model is presented . That is , separate the temperature into some stages in accordance with technology and establish the BP model for every stage .

利用BP神经网络模型对民房安全进行预测，并对爆破参数进行优化。

Lately , the forecast of the civil houses ' safety by using BP neural net model and optimize of the blasting parameters will also be discussed in the dissertation .

以相对直径作为输入向量，以株数累积频率作为输出向量，建立直径分布的BP神经网络模型；

Using the relative diameter as input variable and using the accumulation frequency in number of trees as output variable , the paper constructs the neural network model of tree diameter distribution .

参数调整对气象预测的B-P网络模型性能的影响

Effect of parameter adjustment on feature of B P network model of meteorological forecasting

建立了尾矿坝监测数据分析的RBF神经网络模型，并利用实际数据对此网络进行了训练和检验。

A RBF ( radial basis function ) neural network model for analyzing the monitoring data of tailings dam was established , and then trained and tested using practically collected data .

随后重点讨论了机动车检测线远程监控系统的网络模型，接下来具体分析了远程监控与故障诊断系统的几个关键技术：基于Socket远程实时数据采集；浏览器中的COM组件技术和基于MIDAS的多层体系技术。

It concerns the network structure , Real-time Data Transmission Technology based on Socket , COM techniques in Web Browser , the application of MIDAS in Multi-tier Distributed system .

文中通过分析影响装备保障综合防护效能的因素，建立相关指标体系，然后采用遗传算法改进BP神经网络模型对装备保障防护效能进行评估。

The index system is set up by analysing the factors influencing the comprehensive protection efficacy about equipment support . Then Genetic Algorithm is used to improve Back Propagation neural network model to evaluate the comprehensive protection efficacy .

在RBF网络模型中采用了最新邻聚类算法，实现了网络结构和参数的双重调节，提高了训练的速度和预测的精度。

Using the latest adjacent clustering method in the RBF network model , achieves the adjustments of both network structure and parameters and improves greatly the training speed and the forecasting accuracy .

通过对射线底片焊缝缺陷特征分析，提出了用于焊缝缺陷识别的模糊神经网络模型，并介绍了隶属度的构造和BP网络学习算法。

The model of fuzzy neural networks for weld defects distinguishing was described , through the analysis of the defect characters in weld of ray inspection . The construction of membership function and learning algorithm of BP networks were introduced .