• Some relevant reasoning methods have been discussed in this thesis, include RBR method, CBR method and ANN method.

    对各方法的推理流程、关键技术和核心算法进行了重点研究。

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  • In the view of structure analysis, this paper discusses the application of ANN method to the analysis of antenna perforated panel.

    本文从结构分析的角度,探讨神经网络方法在打孔天线反射面板分析中的应用。

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  • Compared to the prediction results of time series method, the prediction results of ANN method are of higher precision. The prediction errors varied with seasons.

    与随机时间序列分析方法预测结果比较,神经网络方法可以提高预测精度,预测误差也呈现出随季节发生变化的规律。

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  • Application experience has been shown that both methods have good prediction performance in which the ANN method has better prediction performance in comparison with multiple regression method.

    实践表明:两种模型对毛条的豪特长度、长度变异、短纤维含量和精梳落毛率均能进行较为准确的预测,其中人工神经网络预测模型预测效果优于统计回归模型。

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  • The method of ANN model can not only decrease the cost of research but get the applicable optimal conditions of the technics.

    该法不仅可以减少实验成本而且能够提供较为可信的最优工艺条件,具有一定的实用价值。

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  • Results Build two kinds of ANN forecast models of HFRS incidence They are better than traditional method on prediction precision.

    结果建立HFRS发病率的两种ANN预测模型,其预测精度远远高于传统方法。

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  • The method of identification of structural damage based on ANN is an effective measurement to identify the structural damage, which can be widely used in practical engineering.

    基于人工神经网络技术的结构损伤识别方法是大型土木工程结构损伤识别的有效方法,可在工程结构损伤识别中广泛应用。

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  • The result of experiment and simulation indicates the controlling method using ANN prediction model combined with static equation meets the requirement of controlling greenhouse environment.

    仿真与实验结果表明,神经网络预测模型与静态方程相结合的控制方法满足温室环境温度控制需求。

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  • The feasibility for regarding ANN as a new modern designing method is discussed and the technology of modeling in the field of mechanical designing is investigated.

    研究将人工神经网络作为一种新型的现代设计方法的可行性,并进一步研究人工神经网络在机械设计中的建模技术。

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  • The regression equations and similar factors were used to compare the predicability of the ANN and response surface method based on the binomial equations.

    通过线性回归和相似因子法比较人工神经网络和基于二元二项式的响应面法的预测能力。

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  • Tank leakage detection method founded on small mass change is achieved taking advantage of ANN technology.

    应用人工神经网络技术,实现了基于质量微小变化的油罐泄漏检测方法。

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  • 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。

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  • 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.

    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。

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  • Some curve surface fitting methods used in the reverse engineering are analyzed, and a new free curve surface fitting method based on ANN is presented.

    分析了应用于反求工程的几种曲面拟合方法,提出一种基于神经网络技术的自由曲面拟合新方法。

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  • This encoding method is used in the proposed evolutionary ANN. The results show that it is effective.

    所设计的进化神经网络经实际应用取得了很好的结果,表明该方法是有效的。

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  • This paper presents a method of evaluating noise quality based on artificial neural network (ANN).

    提出一种基于人工神经网络(ANN)的噪声品质评价方法。

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  • For the short -term electric power load with uncertainty influence factors, we put forward the load forecasting method using ANN based on similar historical day.

    对于受不确定因素影响的短期电力负荷,提出了一种基于相似日的神经网络预测方法。

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  • The detection method of Xianggu mushroom drying based on ANN was discussed.

    探讨了基于神经网络的香菇干燥含水率在线检测的方法。

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  • Somepeople think ANN is better than traditional forecast method; Others think ANN is just a kind of exaggerated fashion.

    一些人认为用ANN预测比其他传统预测方法要好,也有一些人认为ANN预测仅是一种被夸大了的时髦。

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  • We tried template matching and RBF ANN as classify method.

    分类器分别尝试了模板匹配方法和RBF神经网络的方法。

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  • The paper presents a method of changing topological artificial neural network (ANN) to forecast the load of power system.

    提出变拓扑人工神经网络(ANN)预报电力系统负荷的方法。

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  • As the system's controlling inputs and operating region are constrained in real power systems, the decoupled and linearized system derived by ANN inversion method is not an ideal one.

    由于实际电力系统输入限幅、工作区域受限等因素的影响,采用神经网络逆系统方法对被控电力系统进行反馈线性化解耦后的复合系统并非理想的解耦线性系统。

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  • The runoff coefficient of every underlying surface was forecasted in different rainfall conditions by ANN models and compared with conventional method as well.

    用该方法对不同降雨条件下每种下垫面的径流系数进行了预测,并与传统方法进行了比较。

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  • It is the continuity work on predicting parison dimensions in extrusion blow molding by means of the artificial neural network (ANN) method, and established a new ANN model.

    延续了本课题组在挤出吹塑中利用人工神经网络(ANN)预测型坯尺寸的工作,建立一个新的ANN模型。

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  • Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.

    基于自适应噪声对消技术及人工神经网络(ANN)理论,提出了一种谐波电流动态检测方法。

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  • The precision of soil moisture can be improved by using priori knowledge in the ANN inversion. The method is introduced and the effect is showed in this thesis.

    利用ANN进行土壤湿度反演,效果很好,但仍需进一步改进,论文给出了结合先验知识提高反演精度的做法和尝试结果,表明利用先验知识的确能够提高湿度反演的精度。

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  • The experimental results show that ANN is an effective method for the nondestructive testing and classifying of three defects.

    实验结果表明,人工神经网络是一种有效的三个缺陷的无损检测和分类方法。

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  • Firstly, the paper discusses the process, object and method of knowledge discovery, then introduces the anesthetization case database, the ANN model and the evaluation about the result.

    本文首先论述了知识发现的过程、对象及方法,然后介绍了研究中实际使用的麻醉病例数据库、神经网络模型和对结果的检验评价方法。

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  • Firstly, the paper discusses the process, object and method of knowledge discovery, then introduces the anesthetization case database, the ANN model and the evaluation about the result.

    本文首先论述了知识发现的过程、对象及方法,然后介绍了研究中实际使用的麻醉病例数据库、神经网络模型和对结果的检验评价方法。

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