检索结果-内蒙古大学图书馆

Data Acquisition of Ambulatory Air Pressure Test Device Based on fuzzy algorithm

JOURNAL OF TESTING AND EVALUATION 2023年第1期51卷 264-277页

作者： Zhang, Haiying Mech & Elect Engn Inst Ningbo Polytech Ningbo 315800 Peoples R China

The data of air pressure test device have different resistive currents under different load strengths, so it is necessary to collect the data of locomotive air pressure test device automatically, and the automatic data acquisition method of locomotive pressure test device based on fuzzy algorithm is put forward. Such elements can also be integrated to the health care system. The input control variable model of locomotive air pressure test device data calculation is constructed. Under the adjustment of pressure and pressure gain, the locomotive no-load output pressure is used as the state characteristic quantity, the output stability of locomotive pressure test device data is analyzed under the mode of high switching frequency, and the electromagnetic interference characteristics of locomotive pressure test device data output are analyzed by combining the adaptive error feedback adjustment method. According to the fuzzy state characteristics of locomotive air pressure test device, the vibration analysis and error adjustment of locomotive pressure test device data are carried out, and the adaptive parameter fusion model of locomotive pressure test device data is established. Combined with virtual air pressure adaptive control and output power adaptive adjustment method, the automatic data acquisition of locomotive pressure test device is realized. The simulation results show that the automatic data acquisition accuracy and stability of the locomotive air pressure test device are high, and the adaptability and environmental adaptability of the data calculation of the locomotive pressure test device are improved.

关键词： fuzzy algorithm locomotive air pressure test device data acquisition

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Research on Composite Braking Mode Switching Strategy Based on fuzzy algorithm

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ADVANCED THEORY AND SIMULATIONS 2023年第2期6卷

作者： Zheng, Zhu'An Liang, Cang Lv, Hongming Zhang, Kun Zhang, Weiyang Yancheng Inst Technol Sch Automot Engn Yancheng 224000 Jiangsu Peoples R China

Aiming at the cruising range of electric vehicles, this paper proposes a control strategy for electric vehicle electromechanical composite braking mode switching based on motor braking force correction. The braking force of the motor is adjusted by factors such as braking intensity to improve the braking energy recovery, and the braking force distribution curve is designed considering the braking energy and braking safety and stability. The research results show the braking time, braking torque, and battery charge. The peak value of discharge current has been improved, and the braking energy recovery efficiency has increased by 9.17% and 3.32% respectively under different working conditions. Under different braking modes with an initial speed of 30 km h(-1), the braking energy recovered by the battery has increased by 16.04 , 3.89, 9.63 kJ, the braking time and braking distance are also shorter, which highlights the superiority of this control strategy.

关键词： braking intensity energy recovery fuzzy algorithm mode switching

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The Application of a fuzzy algorithm to the Control of the Extraction Process in Nuclear Fuel Reprocessing

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IFAC Proceedings Volumes 1979年第3期12卷 395-398页

作者： S.T. Wierzchoń J. Zalewski T. Zόłtowski Department of Electrical Engineering Technical University Warszawa Poland

The new control policy based on fuzzy approach for control of extraction process when taking into account criticality conditions was developed and verified. The example flowsheet suspected to exceed nuclear emergency conditions chosen for calculations was the 16-stage mixer-settler unit for uranium and plutonium recovery. The structure of the fuzzy controller is derived from earlier assessment of nuclear reactivity of the system. The results obtained confirm the usefulness of the fuzzy approach when the system's behaviour cannot be described analytically and estimated accurately during process operation.

关键词： fuzzy algorithm extraction control criticality control fuel reprocessing simulation

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The fuzzy algorithm in the die casting mould for the application of multi-channel temperature control 7

The fuzzy algorithm in the die casting mould for the applica...

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7th International Conference on Electronics and Information Engineering (ICEIE)

作者： Sun Jin-gen Chen Yi Zhang Jia-nan Shenyang Li Gong Univ Hunnan New Dist Nanping Rd 6 Shenyang 110159 Peoples R China

ISBN: (数字)9781510610811

ISBN: (纸本)9781510610811

Mould manufacturing is one of the most basic elements in the production chain of China. The mould manufacturing technology has become an important symbol to measure the level of a country's manufacturing industry. The die-casting mould multichannel intelligent temperature control method is studied by cooling water circulation, which uses fuzzy control to realize, aiming at solving the shortcomings of slow speed and big energy consumption during the cooling process of current die-casting mould. At present, the traditional PID control method is used to control the temperature, but it is difficult to ensure the control precision. While, the fuzzy algorithm is used to realize precise control of mould temperature in cooling process. The design is simple, fast response, strong anti-interference ability and good robustness. Simulation results show that the control method is completely feasible, which has higher control precision.

关键词： fuzzy algorithm die-casting mould temperature control

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Application of Long-Term Poverty Alleviation Mechanism in Chengde From the Perspective of Big Data Based on Computational Neural Model fuzzy algorithm

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INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND WEB ENGINEERING 2023年第1期18卷 1页

作者： Zhu, Yanjie Fu, Chunzheng Chengde Med Univ Chengde Peoples R China

In order to consolidate the poverty alleviation achievements of impoverished counties, villages, and households, it is necessary to establish and improve stable poverty alleviation mechanisms. This article takes the Chengde region as the research object, and based on a large number of domestic and foreign poverty alleviation literature, combined with relevant poverty alleviation theories, uses fuzzy algorithms under big data to study and analyze the long-term mechanism of poverty alleviation and return prevention in the Chengde region. A multi classifier model with limited fuzzy rules is proposed to address the issues of low efficiency and long modeling time in existing fuzzy rule classification algorithms. When minimizing the cost function during model training, the cost function is fuzzy, thereby improving efficiency. The results indicate that the long-term poverty alleviation mechanism in Chengde from the perspective of fuzzy algorithm big data has profound strategic and theoretical significance for poverty alleviation.

关键词： Big data fuzzy algorithm Long-term mechanism of poverty alleviation

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A MOOC online teaching quality evaluation method based on fuzzy algorithm

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INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING 2024年第2-3期34卷 275页

作者： Guo, Yang Changchun Coll Elect Technol Sch Marxism Changchun 130000 Peoples R China

MOOC is a new method of online evaluation, which takes a long time to evaluate the quality of traditional teaching. For MOOC online teaching quality, an evaluation system is established under the principle of evaluation index selection and 19 evaluation indexes such as interface and navigation, knowledge management function, reminder function and mobile terminal function are obtained. After preprocessing the obtained evaluation indexes, the evaluation factor set is determined, then the evaluation index weight is calculated according to the index weight evaluation standard, and its consistency is tested. Finally, according to the test results, the MOOC online teaching quality evaluation model is established under the fuzzy evaluation rules. The experiment shows that the evaluation accuracy of the proposed method can reach 98%, the evaluation effect is good, and the evaluation time is short.

关键词： fuzzy algorithm MOOC online teaching quality evaluation consistency test

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Research on Data Intrusion Detection Technology based on fuzzy algorithm

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INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS 2016年第8期10卷 353-364页

作者： Zhao, Sheng Han, Huishan Shi, Xuekui Xingtai Polytech Coll Xingtai 054000 Hebei Peoples R China

The computer system is becoming more complex and massive network data, which brings great difficulties to the traditional intrusion detection system. Intrusion detection system is an important part of the network and information security architecture, which is mainly used to distinguish the normal activities of the system and the suspicious and intrusion patterns. But the challenge is how to effectively detect network intrusion behavior in order to reduce the false alarm rate and false negative rate. Based on the shortcomings of existing intrusion detection methods, the fuzzy C-means clustering method is proposed to analyze the intrusion detection data, so as to find out the abnormal network behavior patterns. By testing the CUP99 data set, the results show that the IFCA is not only feasible but also accurate and efficient. The improved fuzzy clustering algorithm proposed in this paper can improve the detection rate of intrusion detection and reduce the false detection rate, and can be widely used in intrusion detection system.

关键词： IFCA data intrusion detection fuzzy algorithm

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Design of Intelligent Traffic Control System Based on fuzzy algorithm

Design of Intelligent Traffic Control System Based on Fuzzy ...

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2018 2nd International Conference on Systems,Computing,and Applications(SYSTCA 2018)

作者： Li Yong Road & Bridge North China engineering CO. LTD

An intelligent traffic control system based on fuzzy algorithm is designed. The functions of the system includes traffic signal control, fuzzy algorithm control, and control parameter settings, and also introduced the... 详细信息

关键词： fuzzy algorithm SQLite database intelligent traffic control

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Research and Simulation of Photovoltaic System MPPT Control based on fuzzy algorithm

Research and Simulation of Photovoltaic System MPPT Control ...

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2013 International Conference on Materials,Mechatronics and Automation(ICMMA 2013)

作者： Liping Zhang Yaofu Zhu Zhong Fan Department of Electrical and Electronic Engineering Taizhou Vocational & Technical College Department of Computer Engineering Taizhou Vocational & Technical College

The maximum power point tracking(MPPT)control implements an effective utilization of solar *** the basis of the equivalent mathematical model of the photovoltaic(PV)array,presents the fixed step size perturbation and observation method,which has considerable power loss and poor *** the existing variable step size control is complex,a fuzzy algorithm controller was designed according to the power variation and the previous step of the duty cycle,which could adjust the duty cycle of PWM dynamically,to make the PV system impedance matching and obtain the maximum power rapidly and *** simulation shows that the self-optimizing fuzzy control can achieve good adaptability and good robustness when the parameters change.

关键词： Maximum power point tracking Photovoltaic array fuzzy algorithm

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Selecting Strategy for Agent Behavior Based on fuzzy algorithm and Q-learning

Selecting Strategy for Agent Behavior Based on Fuzzy Algorit...

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2011 International Conference on Intelligent Computing and Integrated Systems(ICISS 2011)

作者： Lv Jia-Jie School of Computer Science and Engineering Guilin University of Electronic Technology Guilin 541004 China Wang Gai-Yun School of Computer Science and Engineering Guilin University of Electronic Technology Guilin 541004 China

In robot soccer simulation team, how to select a proper behavior for a player among shoot, dribbling and passing is a key issue. This paper proposes a more flexible behavior selecting strategy. In the strategy, the fuzzyalgorithm is used to deal with behavior selecting issue. Because the environment of the robot soccer is complicated, with this algorithm it’s not necessary to build a precise mathematic model about the environment. Simultaneously, Q-learning is used to modify the fuzzy rules. The experimental results show that this algorithm is more efficient and robust which can improve the success rate of robot player in shoot, passing and dribbling.

关键词： fuzzy algorithm Q-learning behavior selection simulation

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