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计算机科学 2003年第12期30卷 120-122页

作者：王伦文张铃解放军电子工程学院204研究室合肥230037 国家教育部安徽大学人工智能与信号处理重点实验室合肥230039

1.引言模式分类是模式识别和人工智能研究最基本也是最重要的课题之一.现实世界事物纷繁复杂,尤其是海量数据库、互联网出现,这些信息的处理加工,对分类的要求更加迫切.

关键词：粗糙集理论覆盖算法模式分类方法模式识别人工智能

artificial Neural Network Applied to Quality Diagnosis

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Journal of Systems Engineering and Electronics 1997年第2期8卷 73-80页

作者： Yang Xu(Shandong Architectural and Civil Engineering institute, Jinan 250014, P. R. chinaWang Xingyuan(Shandong University of Technology, Jinan 250061, P. R. china) Shandong Architectural and Civil Engineering institute Jinan 250014 P. R. China Shandong University of Technology Jinan 250061 P. R. China

In this paper, we first make a brief review on the fundamental properties of artificial neural networks (ANN) and the basic models, and explore emphatically some potential application of artificial neural networks in the area of product quality diagnosis, prediction and control, state supervision and classification, factor recognition, and expert system based diagnosis, then set up the ANN models and expert system for quality forecasting, monitoring and diagnosing. We point out that combining ANN with other techniques will have the broad development and application of perspectives. Finally, the paper gives out some practical applications for the models and the system.

关键词： artificial neural network (ANN) Quality diagnosis,pattern recognition Expert system.

A Traffic Flow Detection System Combining Optical Flow and Shadow Removal

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A Traffic Flow Detection System Combining Optical Flow and S...

A Parameter Intelligent recognition Method and Numerical Simulation of Large Underground Caverns

2011 Third Chinese Conference on Intelligent Visual Surveillance

作者： Zhaoxiang Zhang Yuqing Hou Yunhong Wang Jie Qin Laboratory of Intelligent recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing china

Traffic flow detection plays an important role in Intelligent Transportation Systems（ITS）.Video based traffic flow detection system is the most widely used strategy in *** this circumstance,we design and implement a video based traffic flow detection system which is called MyTD in this *** takes advantages of both shadow removal and optical flow ***,we introduce the current development of ITS and focus on the video based traffic detection technology,which is the key to ***,a shadow removal algorithm combining information in both RGB and HSV color spaces is ***,based on the Iterative Pyramidal LK Optical Flow Algorithm,a vehicle tracking function is realized by OpenCV,as well as a Connected Components Labeling function and the vehicle counting ***,MyTD is implemented and tested based on the algorithm presented *** results show the outstanding performance of our method comparing with traditional optical flow algorithms.

关键词：

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A Parameter Intelligent Recognition Method and Numerical Sim...

基于交叉覆盖算法的改进算法——核平移覆盖算法

2009 International Conference on Computational intelligence and Natural Computing(CINC 2009)

作者： Quan Jiang Xiating Feng Tianbing Xiang institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430074 china Xiangbing Wan East china Investigation and Design institute china Hydropower Engineering Consulting Group Co. Hangzhou 310014 china

To gain the equivalent mechanical parameter of rock in underground engineering and to improve the precision of numerical simulation of excavation, a new multi-information intelligent recognition method of rock mechanical parameter is put forward. By coupling artificial neural network and genetic algorithm as a whole algorithm and by building an associated fitness function to absorb multi-information, a combinatorial intelligent optimization method is available for parameter recognition. The method realizes the global optimization efficiently and improves the uniqueness of searched parameter as far as possible. After recognizing the equivalent mechanical parameters of rock in Jinping II underground caverns by above method, the performance of surround rock in construction is calculated by 3D numerical simulation with the characters of 1168 thousand elements and 234 gridpoints. The practical application indicates that the intelligent method is reliable to analyze and predict the safety of underground engineering.

关键词： parameters recognition intelligent method undergrpund engineering numerical calculation

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微机发展 2004年第11期14卷 1-3页

作者：赵姝张燕平张媛陈传明安徽大学人工智能研究所安徽合肥230039

文中对前向神经网络交叉覆盖算法进行了分析,并在此基础上引入统计学习理论中的核函数,提出了两者结合的方法———核平移覆盖算法(简称KMCA)。KMCA通过Mercer核,将输入空间的样本映射到高维特征空间,然后先覆盖、后平移,以使覆盖领域... 详细信息

文中对前向神经网络交叉覆盖算法进行了分析,并在此基础上引入统计学习理论中的核函数,提出了两者结合的方法———核平移覆盖算法(简称KMCA)。KMCA通过Mercer核,将输入空间的样本映射到高维特征空间,然后先覆盖、后平移,以使覆盖领域局部最优,实现在核空间中分类识别。实验的结果证明了KMCA的可行性和有效性。

关键词：交叉覆盖核函数核覆盖分类核平移覆盖算法前向神经网络

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航空发动机故障的支持矢量机智能诊断

推进技术 2003年第5期24卷 414-416,420页

作者：朱家元张喜斌张恒喜裴静空军工程大学工程学院陕西西安710038 空军驻武汉滨湖机械厂军代表室湖北武汉430077

引入支持矢量机和多元分类算法到航空发动机故障诊断当中。通过设计的多元分类支持矢量机构建了小样本多参数航空发动机故障智能诊断模型,然后通过发动机故障仿真器对典型发动机气路故障进行了诊断。结果表明,支持矢量机具有优秀的故障... 详细信息

引入支持矢量机和多元分类算法到航空发动机故障诊断当中。通过设计的多元分类支持矢量机构建了小样本多参数航空发动机故障智能诊断模型,然后通过发动机故障仿真器对典型发动机气路故障进行了诊断。结果表明,支持矢量机具有优秀的故障学习能力,采用它进行航空发动机故障诊断是可行、有效的。

关键词：支持矢量机机器学习航空发动机故障诊断人工神经元网络

Application of the artificial neural network to multivariate anomaly recognition in geochemical exploration for hydrocarbons

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Application of the artificial neural network to multivariate...

Using an artificial intelligence Method to Recognize Seismic Precursory Anomaly (SPA)

中国科学院地质与地球物理研究所2003学术年会

作者： Liuping Zhang~(1,2) & Guoping Bai~(1,2) 1 Basin(?) Reservoir Research Center,University of Petroleum,Changping,Beijing 102249,P.R.china 2 Key Laboratory for Hydrocarbon Accumulation Mechanism of Chinese Ministry of Education,University of Petroleum, Beijing 102249,P.R.china

Traditional methods of multivariate statistical analyses,used to recognize anomalous hydrocarbon signatures in petroleum exploration,have at least four shortcomings:(1) it is difficult to isolate anomalies where the data are not normally distributed;(2) it is difficult to separate distinct anomaly populations corresponding to distinct formation mechanisms while separating anomalies from background;(3) it is not fitting to present illustrations of multivariate anomalies on contour maps;and (4) it is not suitable for preparation for multivariate pattern *** present serious obstacles to the application of exploration geochemistry in hydrocarbon *** study demonstrates that the Back Propagation artificial Neural Network(BP-ANN) with logic multiplication cluster analysis(a new cluster analysis proposed in this paper) overcomes the difficulties exhibited by traditional multivariate *** logic multiplication cluster analvsis was designed to produce a training set for the *** approach was established on the basis of geochemical characteristics and origin of the various populations in geochemical data,such as background,micro-seepage anomalies and seepage *** topology of the BP-ANN was optimized using the outputs of the BP-ANN and the correct *** order to illustrate the multivariate anomalies recognized using BP-ANN on contour maps,we designed the expression functions for BP-ANN application in this *** traditional methods of anomaly recognition,acid-extractable hydrocarbons in soils have not proven to be efficient indicators for hvdrocarbon potential in East Anan Sag,Inner ***,the BP-ANN has indicated that these indicators are efficient and that areas of East Anan Sag have potential reserves of petroleum.

关键词： multivariate anomalies neural network cluster analysis direct hydrocarbon indicators

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Earthquake Research in china 1997年第1期11卷 98-106页

作者： Zheng Wenheng,Chen Junhua,Yan Zunguo,Zhang Qiuwen,and Yang Liminginstitute of Seismology,SSB,Wuhan 430071,chinaEarthquake Research institute of Lanzhou,SSB,Lanzhou 730000,china

In this work,we seek for a new way to recognize and analyze the Seismic Precursory Anomaly(SPA)*** further study of the mechanism of SPA,an artificial intelligence method,the Machine Discovery(MD)method,is proposed to process the Seismic Precursor Observation(SPO)data and to fit an analytic function to *** analytic function is used as a criterion to identify the *** algorithm of MD is worked out based on the theory of Recursive Function(RF).The data of Amplitude Factor of Solid Tide(7 value)are processed by the proposed *** find that the subsequent data fit to the extrapolation of the discovered function during the quiet period,whereas they deviate from it before a strong ***,the feasibility of quantitative analysis of the SPA is testified.

关键词： Machine discovery Seismic precursor recognition artificial intelligence

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DBMiner数据挖掘平台及其应用

系统仿真学报 2001年第6期13卷 740-742页

作者：杨杰叶晨洲陈念贻上海交通大学图象处理和模式识别研究所上海200030

数据挖掘是智能信息处理的重要工具。介绍ＤＢＭｉｎｅｒ数据挖掘平台的组成和原理，提出了多重知识模型的分层数据挖掘方法。基于综合衡量准则的决策树生成算法改善了生成决策树的结构和分类精度，基于遗传算法的ｎ维空间优化参数的搜... 详细信息

数据挖掘是智能信息处理的重要工具。介绍ＤＢＭｉｎｅｒ数据挖掘平台的组成和原理，提出了多重知识模型的分层数据挖掘方法。基于综合衡量准则的决策树生成算法改善了生成决策树的结构和分类精度，基于遗传算法的ｎ维空间优化参数的搜索算法。该数据挖掘平台已应用于多个应用领域均取得满意结果，介绍了在多元合金材料预报和家庭远程医疗监护方面的应用。

关键词：数据挖掘人工神经网络遗传算法决策树 DBMiner 数据库

MOLTEN SALT PHASE DIAGRAMS CALCULATION USING artificial NEURAL NETWORK OR pattern recognition-BOND PARAMETERS

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中国有色金属学会会刊：英文版 1998年第1期8卷 143-149页

作者： Wang Xueye, Qiu Guanzhou and Wang DianzuoDepartment of Mineral Engineering, Central South University of Technology, Changsha 410083, P. R. chinaChen NianyiShanghai institute of Metallurgy, Chinese Academy of Sciences, Shanghai 200050, P. R. Ch

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关键词： phase diagram calculation artificial neural network pattern recognition bond parameter binary molten salt system