Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
应用人工神经网络方法,以航磁数据为样本,建立了航磁信息关联的BP人工神经网络模型。
Using artificial neural network to solve the questions about computer cryptology will be an important study field of neural network and will bring a new clew to cryptology.
用人工神经网络解决计算机密码学中的问题,即神经密码学,不仅是神经网络的一个重要的应用研究领域,而且也将给密码学理论提供一种全新的思路。
According to the theory of Artificial Neural Network and Expert system, a design conceit fault diagnosis and dealing system of substation based on Neural Network and Expert system is presented.
根据人工神经网络和专家系统理论,提出了基于人工神经网络和专家系统的变电站故障诊断和处理系统的设计构想。
The architecture of neural network computing oriented parallel computer is the elementary aspect of artificial neural network research.
面向神经计算的并行计算机体系结构是神经网络研究中的一项重要工作。
Artificial neural network is one of artificial system, which simulates structural and functional characteristics of biological neural network resorted to engineering technological means.
而神经网络则是用工程技术手段模拟生物神经网络的结构特征和功能特征的一类人工系统。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
阐述了人工神经网络模型的一般结构和算法,并设计了机械故障诊断神经网络的模型和学习过程。
To enhance the validity of evaluation, based on ANN(artificial neural network), a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.
为了提高评价的准确性,采用人工神经网络技术,建立了基于BP神经网络的道路交通安全综合评价模型。
A critical review on the potential application of artificial neural network in membrane fouling research is given, and the prospect of artificial neural network in membrane bioreactor is pointed out.
作者对人工神经网络在膜污染中的应用进行了较为全面的综述,并指出了其在膜生物反应器膜污染研究中的应用前景。
In order to prevent neural network learning from getting into local extreme point, artificial immune network algorithm was used to optimize neural network's parameters.
为了避免神经网络的学习过程陷入局部极值点,采用人工免疫网络优化神经网络的参数。
Based on the model parameter identification theory in inverse problem, a neural network model for constitutive law of clay under multiple stress paths is set up through artificial neural network.
基于反问题中的模型参数辩识理论,通过人工神经网络,建立了考虑应力路径影响的粘土的神经网络本构模型。
Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN) model for forecasting network traffic was created.
结合小波变换和人工神经网络的优势,建立一种网络流量预测的小波神经网络模型。
The artificial neural network in steel making production is introduced in this paper. The model of prediction is established with the principle of artificial neural network.
介绍了人工神经网络在炼钢生产上的应用,提出利用人工神经网络原理建立预报模型。
Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.
针对BP人工神经网络所存在的缺陷,结合差异演化算法,提出了基于DE - BP神经网络的旅游客源预测模型。
An artificial neural network method is proposed for hydrological forecasting, the hybrid gradient method for multilayer feedforward neural network developed.
提出了径流长期分级预报的人工神经网络方法,给出了多层前馈网络的联合梯度算法。
The establishment of the BP artificial neural network and grey system united model and grey data pretreatment depends on BP artificial neural network interpolate.
使用BP神经网络插值方法对灰色数据进行了预处理,进而建立了预测软基沉降量的BP神经网络和灰色系统联合模型。
This paper researches the principium of artificial neural network, puts forward the model of artificial neural network which determines the degree of restart dependence bet.
文中结合神经网络工作原理,构建了判定模块间重启相关度及模块可达集的神经网络结构模型。
Probabilistic neural network (PNN) model is a kind of artificial neural network, which is simple in structure, easy for training and widely used.
概率神经网络(PNN)是一种训练速度快、结构简洁明了、应用广泛的人工神经网络。
Comparing the result of neural network forecast with that of numerical simulation, fracture time forecasted by the artificial neural network is precise and reliable.
最后将神经网络预测结果与数值计算结果对比,认为应用人工神经网络对立井井筒破裂时间的预测比较准确、实用。
Based on the theorem of the existence of multilayered neural network mapping, a model of artificial neural network is set up for approximate structural analysis.
基于多层神经网络映射存在定理,建立近似结构分析的人工神经网络模型。
By using the Neural Network Toolbox (NNT) of MATLAB, BP Artificial Neural Network Models are set up to predict the dry season Runoff in the Lower Yellow River.
本文利用MATLAB软件的神经网络工具箱(NNT),建立下游枯季径流预测的BP神经网络模型。
This artificial neural network technology to predict the scale of the field of mobile users, using MATLAB software to design prediction model for the size of mobile users based on BP neural network.
本文将人工神经网络技术应用到移动用户规模预测领域中,利用MATLAB软件设计出基于BP神经网络的移动用户规模预测模型。
Models of BP artificial neural network for the forecast of dry season runoff in the Lower Yellow River are set up by using artificial neural network.
应用人工神经网络建立下游枯季迳流预测的BP神经网络模型。
This paper analyzed the tertiary industry added value in Inner Mongolia using Artificial Neural Network. Finally, the paper built the BP Neural Network model with single hidden layer.
文章通过运用神经网络的建模方法对内蒙古自治区第三产业增加值进行分析,最后建立了单隐层的BP神经网络模型。
According to the approach ability of artificial neural network, a novel transformer protection based on the artificial neural network model is proposed.
依据人工神经网络的逼近能力,提出了一种基于人工神经网络模型的变压器保护新原理。
Artificial Neural Network demo - This is a demo of an Articial Neural Network.
这是人工神经网络的一个演示程序。
The artificial neural network was introduced into welding expert system and a series of neural network models were set up by the authors for the design of welding parameters.
将人工神经网络技术引入焊接专家系统,建立了多种焊接规范参数设计网络模型。
Forecast results show that Bayesian neural network MAPE and RMSE are less than artificial neural network, Bayesian neural network with better performance, it can be applied to predict the actual work.
预测结果表明,贝叶斯神经网络的MAPE和RMSE均小于人工神经网络,贝叶斯神经网络具有更好的性能,它可利用于实际预测工作中。
Structure model and algorithms of Wavelet Neural Network (WNN) are designed combining the advantages of both wavelet transform and Artificial Neural Network (ANN).
结合小波变换和神经网络的优势给出小波神经网络的结构模型,研究了小波神经网络的学习算法;
Structure model and algorithms of Wavelet Neural Network (WNN) are designed combining the advantages of both wavelet transform and Artificial Neural Network (ANN).
结合小波变换和神经网络的优势给出小波神经网络的结构模型,研究了小波神经网络的学习算法;
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