A fast method for spectrum analysis and interpolation using artificial neural network (NN) for the microwaves surveying system is studied.
本文研究了在微波探测系统中，利用人工神经网络做谱分析和插值的快速方法。
This text begins with the analysis of subjective method testings MRTD, brings up an objective method based on Artificial Neural Network and used planar CCD to measure MRTD.
从分析测试热像仪性能参数MRTD的主观方法入手，提出了一种基于神经网络用面阵CCD测量MRTD的客观方法。
The analysis index system is put forward and the expert system based on artificial neural network is established, so as to solve the evaluation problem of high-tech park's competence effectively.
为此提出了高新技术园区竞争力的分析指标体系，并构建一个基于人工智能神经网络的专家系统，较好地解决了对高新技术园区的竞争力进行分析评估的问题。
Then the author analyzes Grey System Theory, relative analysis method and the development of Artificial Neural Network.
然后系统地分析了灰色系统理论、关联分析方法以及神经网络理论的原理、功能。
Based on artificial neural network, thermal parameter feedback analysis model of RCC dam during construction period has been established.
基于人工神经网络的方法，建立了碾压混凝土坝施工期热学参数反馈分析模型。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, an approach for harmonics detection and analysis is presented.
基于自适应噪声抵消方法和人工神经网络(ANN)理论，提出一种谐波电流检测分析方法。
This paper discusses the technology of DM based on ANN(artificial neural network), puts forward an improved BP algorithm, and carries out analysis and testing in terms of the algorithm.
探讨了基于人工神经网络的数据挖掘技术，提出了一种改进的BP算法，并针对这种算法进行了分析测试。
This paper proposes to use artificial neural network on multivariate analysis of geological data.
本文提出了利用人工神经网络进行地质数据多变量分析的方法。
As the artificial neural network and stepwise regression analysis are respectively applied to the data of crude wax deposition experiment, the model of wax deposition velocity was established.
分别采用人工神经网络法和逐步回归分析法对原油管道蜡沉积实验数据进行分析处理，建立蜡沉积速率模型。
On the basis of materials analysis, a discussion of how to use the artificial neural network in the other way has been researched.
结合材料设计领域的基础理论，讨论了将人工神经网络技术应用于相关材料设计与分析领域的应用前景。
The article showed the integration of artificial neural network and expert system in artificial intelligence, which was introduced in the analysis of bending parts' defects.
提出将人工智能中的人工神经网络技术和专家系统技术相结合，并将其引入弯曲件缺陷分析中去。
On the basis of this system, artificial neural network is used to perform qualitative analysis and identify type of gasoline.
在此基础上，利用人工神经网络对之进行定性分析，可鉴别汽油型号。
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。
Based on the analysis of pilot behavior character a nd control mode, the predictive control ANN (artificial neural network) model is established according to the theory of prediction-following.
在分析驾驶员行为特性和行为操纵的基础上，根据预测跟随理论，建立了驾驶员预测控制神经网络（ANN）模型；
The application of the artificial neural network technique to the Frequency Response Analysis method (FRA) which is used to detect transformer winding deformation is presented.
探讨了人工神经网络技术在检测变压器绕组变形的频率响应法中的应用。
The present paper presents a new NIR multi-component analysis method with Artificial Neural Network (ANN) and Partial Least Square Regression (PLS).
提出了一种神经网络(ANN)和偏最小二乘法(PLS)结合的新的近红外(N IR)多组分分析法。
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.
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。
Nowadays there are some successful laser remote sensing spectra data analysis systems which include artificial neural network.
现在已经有了一些利用人工神经网络建立的激光遥感光谱数据的智能分析系统。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
Based on the result of the trend in the multi-resolution analysis, the paper constructs the corresponding artificial neural network to estimate the visitors' flow.
运用小波分析对天涯海角流量分析所得结果，建立神经网络模型对旅游流量进行预测。
The data from the industry analysis of biomass was regarded as the input of the artificial neural network. The network was trained with 56 group of data and proved with 7 group.
神经网络以生物质的工业分析数据作为输入，采用56组数据对网络进行训练，以7组数据对网络进行验证。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
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