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第十四届工业工程与工程管理国际会议

作者： Zhiyu Zhang~(1 2) Shang Liu~3 Congdong Li~4 1 College of Information Engineering Tianjin University of Commerce Tianjin P.R.China 300134 2 School of Management Tianjin University Tianjin P.R.China 300072 3 Department of Information Tianjin University of Finace & Economics Tianjin P.R.China 300222 4 School of Management Jinan University Jinan P.R.China 510632

＜正＞The paper demonstrates the efficient use of combination of intelligent information processing technology and e- conomic logic for solving the problem of enterprise *** aim of the study is to obtain accurate prediction schemes of future sales able to support marketing evaluation in *** attempts for the same problem only used either quantitative technologies of Data Mining or expert *** management decision method facing eco- nomic logic thinking and knowledge is proposed in this *** studying objective of economic logic is economy ac- tivity and *** the broad application of IT and networking technology,the huge volume,frequently upda- ted,and high dispersion become the new characters of the economic *** the new economic form,man- agement decision needs use not only intelligent information technology but logical rational guideline and *** paper combines artificial neutral network technology of data mining and economic logic method to do the research on Management in electronic *** is an advantageous approach enabling combination of quantitative processing and qualitative analysis.A real case is also discussed in detail,and the effective and supportive results prove that the research of management decision method facing economic logic thinking is worthwhile.

关键词： Management Decision Economic Logic Data Mining neutral network Prediction

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Operational requirements analysis method based on question answering of WEKG

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Journal of Systems Engineering and Electronics 2024年第2期35卷 386-395页

作者： ZHANG Zhiwei DOU Yajie XU Xiangqian MA Yufeng JIANG Jiang TAN Yuejin College of Systems Engineering National University of Defense TechnologyChangsha 410073China

The weapon and equipment operational requirement analysis(WEORA) is a necessary condition to win a future war,among which the acquisition of knowledge about weapons and equipment is a great challenge. The main challenge is that the existing weapons and equipment data fails to carry out structured knowledge representation, and knowledge navigation based on natural language cannot efficiently support the WEORA. To solve above problem, this research proposes a method based on question answering(QA) of weapons and equipment knowledge graph(WEKG) to construct and navigate the knowledge related to weapons and equipment in the WEORA. This method firstly constructs the WEKG, and builds a neutral network-based QA system over the WEKG by means of semantic parsing for knowledge navigation. Finally, the method is evaluated and a chatbot on the QA system is developed for the WEORA. Our proposed method has good performance in the accuracy and efficiency of searching target knowledge, and can well assist the WEORA.

关键词： operational requirement analysis weapons and equipment knowledge graph(WEKG) question answering(QA) neutral network

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维普期刊数据库

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Aero-engine Blade Fatigue Analysis Based on Nonlinear Continuum Damage Model Using Neural networks

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Chinese Journal of Mechanical Engineering 2012年第2期25卷 338-345页

作者： LIN Jiewei ZHANG Junhong ZHANG Guichang NI Guangjian BI Fengrong State Key Laboratory of Engines Tianjin UniversityTianjin 300072China

Fatigue life and reliability of aero-engine blade are always of important significance to flight *** establishment of damage model is one of the key factors in blade fatigue *** linear Miner＇s sum method is not suitable for aero-engine because of its low accuracy.A back propagation neutral network（BPNN） based on the combination of Levenberg-Marquardt（LM） and finite element method（FEM） is used to describe process of nonlinear damage accumulation behavior in material and predict fatigue life of the *** tests of standard specimen made from TC4 are carried out to obtain material fatigue parameters and S-N curve.A nonlinear continuum damage model（CDM）,based on the BPNN with one hidden layer and ten neurons,is built to investigate the nonlinear damage accumulation behavior,in which the results from the tests are used as training *** with linear models and previous nonlinear models,BPNN has the lowest calculation error in full load *** has significant accuracy when the load is below 500 ***,when the load is 350 MPa,the calculation error of the BPNN is only 0.4%.The accurate model of the blade is built by using 3D coordinate measurement *** loading cycle in fatigue analysis is defined from takeoff to cruise in 10 min,and the load history is obtained from finite element analysis（FEA）.Then the fatigue life of the compressor blade is predicted by using the BPNN *** final fatigue life of the aero-engine blade is 6.55 104 cycles（10 916 h） based on the BPNN model,which is effective for the virtual design of aero-engine blade.

关键词： continuum damage model neutral network Finite Element Method aero-engine blade life prediction

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维普期刊数据库

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A new filtering algorithm for infrared image

A new filtering algorithm for infrared image

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2010 3rd International Conference on Future BioMedical Information Engineering (FBIE 2010)

作者： Meng Ting Department of Information and Communication Engineering College Harbin Engineering University Harbin China Li Yi-bing Li Ao Department of Information and Communication Engineering College Harbin Engineering University Harbin China

The image filtering technology is widely used in many fields, such as environmental monitoring and assessment, space remote sensing, recognition and tracking of infrared target. In this paper, aiming at the problem of poor generalization capability and over-fitting with artificial neutral network for infrared image filtering, a new filtering method is presented. It uses the structure elements to set up the training samples, and then, based on support vector machine theory, it builds the learning machine with proper model and trains the samples. The result can be used to suppress the background SNR of following image. The experiment result with infrared image shows that the method can get higher SNR than traditional neutral network and fixed Top-Hat operator method, especially in low SNR.

关键词： Image filtering neutral network Support Vector Machine Top-Hat operator

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神经网络数据挖掘工具在大庆油田剩余油分布研究中的应用

神经网络数据挖掘工具在大庆油田剩余油分布研究中的应用

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第十八届全国数据库学术会议

作者：宋志军马杰胡海峰马玉书石油大学人工智能研究中心

1.引言目前,我国绝大部分油田都已进入高含水开采阶段,随着油田含水程度的不断提高,地下油水分布变得十分复杂,从而给油田开发后期的剩余油挖潜带来了困难。了解和掌握油藏中剩余油饱和度的宏观和微观的空间分布,确定其剩余储量、剩余... 详细信息

1.引言目前,我国绝大部分油田都已进入高含水开采阶段,随着油田含水程度的不断提高,地下油水分布变得十分复杂,从而给油田开发后期的剩余油挖潜带来了困难。了解和掌握油藏中剩余油饱和度的宏观和微观的空间分布,确定其剩余储量、剩余的可采量及可采量的品位,是油藏经营管理决策的重要依据。确定储

关键词： Residual oil neutral network Data mining

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