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检索条件"主题词=Bp algorithm"

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Intelligent modeling of contact stiffness of machine joint interfaces

Intelligent modeling of contact stiffness of machine joint i...

引用

International Conference on Information Acquistition

作者： Zhang, XL Wen, SH Wu, MX Taiyuan Heavy Machinery Inst Mech & Elect Sch Taiyuan Shanxi Province Peoples R China

ISBN: (纸本)0780386299

In this paper, firstly the influencing factors of contact stiffness of machine joint interfaces and their description method are introduced and discussed. Then a weight smoothing bp algorithm is introduced briefly. It has better generalization performance. Basing on this algorithm, the intelligent modeling method of contact stiffness of machine joint interfaces under multi-joint conditions is proposed for the first time. This method is proved feasible by the given modeling example.

关键词： contact stiffness machine joint interfaces weight smoothing bp algorithm intelligent modeling

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Study on DDoS Attacks based on DPDK in Cloud Computing 3

Study on DDoS Attacks based on DPDK in Cloud Computing

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3rd IEEE International Conference on Computational Intelligence and Communication Technology (CICT)

作者： Zhao, Xutao Univ Elect Sci Technol China Res Inst Elect Sci & Technol Chengdu Sichuan Peoples R China

ISBN: (纸本)9781509062188

DDoS (distributed denial of service attack) is a common and destructive network attack. In order to minimize the impact of network equipments and protect cloud platform user'security, this paper puts forward a prevention strategy based on DPDK. The bp algorithm is applied to the abnormal traffic detection module and DPDK is used to process network packet in user mode. This kind of mode not only improves the DDoS detection rate but also makes full use of the CPU's powerful computation ability, which greatly enhances the efficiency of real-time processing.

关键词： DDoS DPDK bp algorithm Cloud Computing

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Direct torque control based on FNN and optimization

Direct torque control based on FNN and optimization

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International Conference on Machine Learning and Cybernetics

作者： Cao, CZ Wang, X Lu, MP Shenyang Univ Technol Sch Informat Sci & Engn Shenyang 110023 Liaoning Peoples R China

ISBN: (纸本)0780378652

The paper is proposed for fuzzy neural net based on genetic algorithm adjusting asynchronous motor direct torque control system. Fuzzy neural network training usually adopts the back-propagation study algorithm (bp) Yet the training time of bp algorithm is longer and it is easy to fail into the problems such as local minima and so on. Adopt the genetic algorithm to optimize with weight of fuzzy neural network and parameters of membership function. Make up for the defect that fuzzy neural network adopts bp algorithm. Make the speed of arithmetic faster. Achieve global optimization.

关键词： genetic algorithm bp algorithm weight

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A Modal for Outlier Removal by MLbp Neural Network Based on Adaptive Performance Function

A Modal for Outlier Removal by MLBP Neural Network Based on ...

引用

1st International Conference on Communications and Information Processing (ICCIP 2012)

作者： Dong, Yuhua Ning, Haichun Dalian Nationalities Univ Coll Informat & Commun Engn Dalian Peoples R China

ISBN: (纸本)9783642319679

Based on the analysis of the back propagation (bp) algorithm, the application limitation of bp neural network mean square error (MSE) used in outlier removal is pointed out. An adaptive error performance function (AE) is proposed, and it is integrated into Levenberg-Marquardt algorithm (LM). Simulation results show that the three layer bp neural network model trained by the method have a certain ability of recognition for outlier with isolated type and spotted type, not knowing the theoretical true value.

关键词： Performance function bp algorithm isolated outliers spotted outliers

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Design and Simulation Research for the Automatic Mixture System of Magnesia Refractory Bricks

Design and Simulation Research for the Automatic Mixture Sys...

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23rd Chinese Control and Decision Conference

作者： Wang, Yan Zhou, Yucheng Zhao, Weilun Jing, Yuanwei Shenyang Inst Engn Shenyang 110136 Liaoning Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Liaoning Peoples R China Chinese Acad Forestry Res Inst Wood Ind Beijing 100091 Peoples R China

ISBN: (纸本)9781424487363

This paper introduces control requirements, control method choosing, hardware design and software for the automatic mixture system of magnesia refractory bricks. S7-200 series of PLC are used to realize automatic control for hatching system. Because of complexity of automatic mixture system, conventional compensating control method can not meet the required question precisely. A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture. Simulation is studied by collecting the mixture historical data from field engineering. And the simulation results illustrate that the method can reduce the mixture error effectively.

关键词： Automatic mixture system Magnesia refractory bricks Neural network bp algorithm

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Fast Assessment of Requests Schedulability in Data Relay Satellite Systems: A Multi-layer Neural Network Method

Fast Assessment of Requests Schedulability in Data Relay Sat...

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Wang, Lei Yang, Jingyu Zheng, Xinhua Natl Def Univ Beijing Peoples R China Beijing Space Informat Relay & Transmiss Technol Beijing Peoples R China Sun Yat Sen Univ Guangzhou Peoples R China

ISBN: (数字)9781665459778

ISBN: (纸本)9781665459778

In data relay satellite (DRS) systems, the widely adopted centralized scheduling mode usually results in varying degrees of feedback delay to users, which is detrimental to the efficiency of the whole system and users'QoE (quality of experience). To solve this problem, we investigate the periodicity of such system's mission planning and the actual characteristics of relay missions, and then construct a multi-layer neural network model to simulate the mapping relationship between the inputs (i.e., the mission requests) and outputs (i.e., the scheduling results). The model has a simple and practical structure, composed of the input layer, the hidden layer and the output layer, which benefits from the accurate identification and extraction of relay mission' characteristic parameters. Last, we utilize a back propagation (bp) algorithm to train the neural network. The proposed method can quickly assess the schedulability of users' requests with the average accuracy 85% in multiple scenarios, which effectively improve the efficiency of the DRS system and the QoE.

关键词： data relay satellite(DRS) request schedulability multi-layer feedforward neural network scheduling,quality of experience(QoE) bp algorithm

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Research on universal fuzzy logic controller

Research on universal fuzzy logic controller

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IEEE International Conference on Mechatronics and Automation

作者： Lu, Bin N China Elect Power Univ Dept Comp Sci & Technol Baoding Hebei Province Peoples R China

ISBN: (纸本)1424404657

Based on the general structure of fuzzy logic controllers, we soften the operations Of fuzzy inferring with a class of universal logic operators, and then present a new type of flexible structured fuzzy logic controller, universal fuzzy logic controller. It can be trained by bp algorithm with adaptive learning rate. That will bring the appropriate control structures according to the different control objects. The simulation result shows that it's effective.

关键词： fuzzy controller universal logics fuzzy neural networks bp algorithm

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Study of the Fuzzy Neural Network Control used in a new type of household central air conditioning

Study of the Fuzzy Neural Network Control used in a new type...

引用

第三十二届中国控制会议

作者： LIN Fei YU Chunxuan Beijing University of Technology

ISBN: (纸本)9781479900305

This paper introduces a method of control for a new type of household central air conditioning system which is designed for a new building mode with multilayer *** to system's characteristics such as multi-variable,large hysteresis and non-linear,this paper establishes suitable system architecture and proposes a control method based on fuzzy neural *** fuzzy neural network's forward propagation and feedback,the system completes fuzzy reasoning and self-learning *** it can quickly and accurately analyze the measure data in order to achieve real-time control *** last experimental results show that the control method is feasible and has a good dynamic and steady - state performance.

关键词： Fuzzy neural network Household central air conditioning bp algorithm

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A New Practical Method on Hydrological Calculation

A New Practical Method on Hydrological Calculation

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6th International Symposium on Neural Networks

作者： Feng, Lihua Zhang, Xingcai Zhejiang Normal Univ Dept Geog Jinhua 321004 Peoples R China

ISBN: (纸本)9783642015069

Artificial Neural Networks (ANN) deal with information through interactions among neurons (or nodes), approximating the mapping between in-puts and outputs based on non-linear functional composition. They have the advantages of self-learning, self-organizing, and self-adapting. It is practical to use ANN technology to carry out hydrologic calculations. To this end, this note has fundamentally set up a system Of calculation and analysis based on ANN technology, given an example of application with good results. It shows that ANN technology is a relatively effective way of solving problems in hydrologic calculation.

关键词： Artificial neural networks bp algorithm Hydrologic calculation

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Performance Analysis of Mixed-Scheduling Belief Propagation for LDPC Decoders in OFDM System under Double Fading Channels 7

Performance Analysis of Mixed-Scheduling Belief Propagation ...

引用

7th International Electrical Engineering Congress (iEECON)

作者： Prakodrat, Mayura Sopon, Thanomsak Puntsri, Kidsanapong Wongsuthavas, Sasiphan Wongtrairat, Wanaree Rajamangala Univ Technol Isan Fac Engn & Architecture Dept Elect Engn Nakhon Ratchasima Thailand Rajamangala Univ Technol Isan Fac Engn Dept Elect & Telecommun Engn Khonkhaen Campus Nakhon Ratchasima Thailand Rajamangala Univ Technol Isan Fac Sci & Liberal Arts Dept Agr Technol & Environm Nakhon Ratchasima Thailand

ISBN: (纸本)9781728107295

This paper presents the performance analysis of orthogonal frequency division multiplexing (OFDM) system using a mixed-scheduling belief propagation (Mbp) algorithm for LDPC decoding where a double fading channels is considered. The Mbp method is designed based on the Lbp algorithm for the left-to-right direction (Lbp-LR) and right-to-left direction (Lbp-RL). Additionally, the bit error rate (BER) performance comparison of the bp, Lbp, and Mbp algorithms for LDPC decoding is proposed. The simulation results showed that the bit error rate (BER) performance of the Mbp gave better BER than the bp and Lbp algorithms, respectively.

关键词： OFDM system LDPC decoding Mbp algorithm Lbp algorithm bp algorithm double fading

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