神经网络模型

大跨度PC斜拉桥结构快速分析神经网络模型

Neural Network Model to Structural Simulation of Large-Span PC Cable-Stayed Bridges

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

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

转换GPS高程的神经网络模型试验研究

The Test Research on Neural Networks Model Used for Transforming GPS Height

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 .

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

色彩空间转换的BP神经网络模型

The Back-Propagation Neural Network Model of Color-Space Conversion

3层模糊BP神经网络模型可以运用于不良资产债权价值评估。

The 3-layer fuzzy back-propagation neural net model can accurately evaluate the NPL 's value relatively .

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 .

基于薄板翻边回弹试验的RBF神经网络模型

Modelling of Springback with RBF Neural Network Based on Experiments in Flanging Operation

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

结果表明，在岩溶塌陷预测中应用BP神经网络模型是行之有效的。

The results show that application of BP neural network model in the prediction of karst collapse is feasible and effective .

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 .

BP神经网络模型仅仅是一个黑箱模型，不能很好的表现电池内部运行性能，对于需要研究其内部工作特性的应用领域，该建模方法存在一定的局限性。

But the model is merely a black box , which cannot well show the battery operating performance and has certain limitation .

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

与传统的BP神经网络模型相比较，结果表明，RBF网络具有更高的精度和更好的泛化能力。

Compared with traditional BP network , the result indicated that RBF has better accuracy and adaptability of the network .

动态Hopfield神经网络模型及学习算法

Dynamic Hopfield Neural Networks Model and Its Learning Algorithm

一种基于Walsh变换的反馈过程神经网络模型及学习算法

A Feedback Procedure Neural Network Model Based on Walsh Conversion and Its Learning Algorithm

MCM互连测试中的神经网络模型研究

Study on Neural Network Models for MCM Interconnect Testing

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 .

应用神经网络模型分解AVHRR混合像元

The Study on Decomposing AVHRR Mixed Pixels by Means of Neural Network Model

目的应用BP人工神经网络模型预测水溶性药物从HPMC缓释片中的释放。

OBJECTIVE To use an artificial neural network ( ANN ) to predict water soluble drug release from HPMC matrix tablets .

结果高阶前馈神经网络模型应用于区域环境质量评价时，其性能指标优于传统BP网络。

Results The properties of higher order feedforward neural networks model were superior to those of the traditional BP model when applied in the assessment of regional environmental quality .

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 .

在分析了互联网传输时延的组成和特性后，提出了采用AR模型和自适应线性神经网络模型预测不确定性的互联网传输时延的方法。

After analyzing Internet communication features , the AR model and adaptive linear neural network model are ( adopted ) to predict the uncertain Internet time-delay .

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 .

采用BP算法训练网络，对小麦产量和施肥用量之间的映射关系进行了函数逼近，建立了土壤施肥神经网络模型。

The artificial neural network is trained through adoption of BP algorithm . The map relationship between wheat yield and dosage of fertilizer is approached , and the soil fertilizer model is established .

根据常用的高速公路交通流宏观动态模型，建立了高速公路交通流的RBF神经网络模型。

On the basis of macroscopic dynamic traffic flow model which is frequently used in traffic control , Radial Basis Function ( RBF ) neural network is designed .

文中在循环流化床污泥焚烧试验研究的基础上，建立了基于径向基网络的NOx排放特性预测神经网络模型，并对此模型进行校验。

In this paper , one Radial Basis Function ( RBF ) neural network model is developed based on the experimental data of a CFB sludge incinerator .

分析了影响锌液流量的因素，建立了流量的神经网络模型，利用一种自适应BP算法，实现了对锌液流量的在线检测。

The factors affecting flow rate of liquid zinc are analyzed and the neural network of the flow rate is established , thus on-line detection of liquid zinc is implemented by using a self-adaptive BP algorithm .