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检索条件"主题词=Bp algorithm"

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Short-term PV Generation System Forecasting Model without Solar Radiation Based on Improved Wavelet Neural Network

Short-term PV Generation System Forecasting Model without So...

引用

International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012)

作者： Wang, Shuo Xu, Yonghai Fan, Caijie North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China

ISBN: (纸本)9783037856345

The PV generation system is an uncontrollable source and has an affect on the grid by randomness of output power. So we need to strengthen the study of PV output power forecast. In this paper, according to the related information of recent day with the same weather type, an improved wavelet neural network forecasting model without solar radiation was proposed. Furthermore, with the measured data came from a PV power plant, comparison experiments were made as opposed to improved wavelet neural network forecasting model and the wavelet neural network forecasting model with traditional learning algorithm. The experimental results indicate that the improved wavelet neural network forecasting model can significantly improve the precision of PV output power prediction. The comparison experiments considering solar radiation were also given, which also show the high precision and high efficiency of proposed model and algorithm.

关键词： Wavelet Neural Network Forecasting Model Solar Radiation Improved learning algorithm bp algorithm

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Research On The Secondary Generation Of Virtual Human Body Based On Customer Shape In 3d Fitting System

Research On The Secondary Generation Of Virtual Human Body B...

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8th International Conference on Computer Science and Education (ICCSE)

作者： Gu Yaoyuan Xie Hong Shanghai Univ Engn Sci Fash Inst Shanghai Peoples R China

ISBN: (纸本)9781467344630;9781467344647

Through the single parameter control, the virtual person model shape change rule in V-Stitcher is found. According the rule of shape change, put shoulder slope, chest Position, chest peak distance, abdomen, body width, hip width, upper body length, posture, para posture, Bottom Position, upper body posture parameters which from the 3 d fitting software as the output vector, the human body characteristic parameters as input vector, establishing the multiple input and single output four layers bp neural network respectively in *** the basis of the training results, setting the transfer function for {tansig, logsig, purelin}, training function for {trainlm}, training step length for 1000, Ir for 0.01. Using MIV to chose the most effective parameters, to establish the multiple input and single output network structure. Compeared with the model from 3d scanner, the result indicates that this method can simulate shape feature of the human body well.

关键词： bp algorithm Artificial Intelligence MIV(mean impact value) Parametric modeling

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Synthetic Aperture Radar Image Segmentation Based on Multi-scale Bayesian Networks

Synthetic Aperture Radar Image Segmentation Based on Multi-s...

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6th International Congress on Image and Signal Processing (CISP)

作者： Zhang Jianguang Li Yongxia An Zhihong Hengshui Univ Dept Math & Comp Sci Hengshui 053000 Peoples R China Heng Shui Univ Coll Educ Hengshui 053000 Peoples R China

ISBN: (纸本)9781479927630

In this paper, we propose a multi-scale Bayesian networks model and its inference algorithm. We use the multi-scale Bayesian networks model to segment the Synthetic Aperture Radar (SAR) image. The multi-scale Bayesian networks is constructed accordance with the multi-scale sequence of SAR images, whose MAP value is performed using the Belief Propagation (bp) algorithm and the corresponding parameter estimation is finished by the Expectation-Maximization (EM) algorithm. Experimental results demonstrate that the proposed multi-scale Bayesian networks model outperform the single-scale Bayesian network model and Markov Random Field-Intersecting Cortical Model (MRF-CM).

关键词： Multi-scale Bayesian networks Synthetic Aperture Radar image Segmentation bp algorithm

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Study on NNPID-based Adaptive Control for Electro-Optical Gyro Stabilized Platform

Study on NNPID-based Adaptive Control for Electro-Optical Gy...

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International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC)

作者： Zhao, Bing Cao, Jianzhong Yang, Hongtao Dong, Xiaokun Wang, Jihong Gong, Zhendong Fan, Xinming Xian Inst Opt & Precis Mech Xian Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781479925650

The working environment of airborne photo-electric stabilized platform is very atrocious and the platform is a time-varying system which has inherent nonlinearity. So we cannot obtain accurate mathematical model which makes it is difficult to obtain good control effects by traditional control method like conventional PID. Given the neural network's self-learning and selfadaptive characteristics which can adjust PID parameters automatically. This paper proposes a feed-forward neural network PID control method based on improved bp (Back Propagation) algorithm. The simulation results show that the improved algorithm can effectively solve the problems caused by classical PID control. Besides, the improved algorithm has very fast response speed, good real-time performance and less static-error. It can indeed meet the practical application requirements.

关键词： photoelectric gyroscope stabilized platform bp algorithm neural network PID adaptive control

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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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Study on the Improved bp algorithm and Application

Study on the Improved BP Algorithm and Application

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2009 Asia-Pacific Conference on Information Processing

作者： YUEMEI XU1,2 HONG ZHANG 1 School of Computer Science and Technology China University of Mining and Technology School of Environment Science and Spatial Informatics China University of Mining and Technology XUZHOU,CHINA

First,the paper anylizes the standard bp *** the limitation of the standard bp alogrithm,an improved bp alogrithm is obtained by modifying the action function,regulating the learning rate and choosing the initial *** then a recognition example about license plate recognition technology is given to prove the improved bp *** the exam results,the improved bp algorithm has some advantages in fast convergence speed,short recognition time and high recognition rate.

关键词： neural network vehicle license plate recognition bp algorithm pattern recognition

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Training and Application of Process Neural Network Based on Quantum Shuffled Frog Leaping algorithm

Training and Application of Process Neural Network Based on ...

引用

International Conference on Computer Science and Network Technology

作者： Lijie LIU Qiang ZHANG Coll. Of Inf. Technol. Heilongjiang Bayi Agric. Univ. Daqing China

ISBN: (纸本)9781479905607

Aiming at the problem that it is difficult for bp algorithm to converge because of more parameters in training of process neural networks based on orthogonal basis expansion, a quantum shuffled frog leaping algorithm is presented which combines the quantum theory and is to train the process neural network. In this algorithm, the individuals are expressed with Bloch spherical coordinates of qubits. The quantum individuals are updated by quantum rotation gates, and the mutation of individuals is achieved with Hadamard gates. For the size and direction of rotation angle of quantum rotation gates, a simple determining method is proposed. Above operations extend the search of the solution space effectively. To predict sunspot as an example to validate the presented algorithm.

关键词： backpropagation neural nets quantum computing bp algorithm Bloch spherical coordinates Hadamard gates determining method orthogonal basis expansion process neural network quantum rotation gates quantum shuffled frog leaping algorithm quantum theory qubits Logic gates Neural networks Optimization Quantum computing Sociology Statistics Training Learning algorithm Process neural network Quantum Shuffled frog leaping algorithm Neural network quantum computing quanta quantum theory learning algorithms Functional training Sociology Logic gates back propagation Solution space Training quantum gates

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Water Demand Forecasting in Hubei Province with bp Neural Network Model

Water Demand Forecasting in Hubei Province with BP Neural Ne...

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Global Conference on Civil, Structural and Environmental Engineering / 3rd International Symp on Multi-field Coupling Theory of Rock and Soil Media and its Applications

作者： Tang, Zhenquan Liu, Gang Xu, Wennian Xia, Zhenyao Xiao, Hai China Three Gores Univ Coll Hydraul & Environm Engn Yichang 443002 Hubei Peoples R China

ISBN: (纸本)9783037855386

Prediction of water demand is a basic link in water resources plan and management. Reasonable and accurate prediction of storage helps to develop the plan of water resources the next year, which is very favorable to improve the utilization ratio of water resources and reduce the waste of water resources. This paper uses bp neural network to simulate and predict the water content based on the data of water in recent ten years in Hubei province and evaluates the forecast results. The results show that bp neural network for water demand prediction is feasible.

关键词： Artificial neural network bp algorithm Water demand prediction

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Safety Assessment of the General Overhead Traveling Crane Metal Structure Based on bp Neural Network

Safety Assessment of the General Overhead Traveling Crane Me...

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2nd International Conference on Engineering Design and Optimization (ICEDO 2011)

作者： Xu, Gening Zhang, Qian Taiyuan Univ Sci & Technol Sch Mech & Elect Engn Taiyuan 030024 Shanxi Peoples R China

ISBN: (纸本)9783037852590

Safety assessment of bridge crane metal structure is widely needed. A general bridge safety assessment model of metal structure based on bp neural network is established. bp neural network is suitable for the problem that is not fully known and the adaptability of the dynamic system, and can facilitate the assignment and statistics of the safety evaluation system. Matlab7.0 software is used for the network training process. Through the training, samples to be tested were verified for the feasibility of the security model. The security model based on bp neural network for the general overhead traveling crane structure could provide a safety assessment and evaluation methods.

关键词： bp Neural Network bp algorithm the General overhead traveling crane metal structure Safety Assessment

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A Research of bp Neural Network Based on Dynamics for Robot Manipulator

A Research of BP Neural Network Based on Dynamics for Robot ...

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International Conference on Materials Science and Information Technology (MSIT 2011)

作者： Zhou Bo Zaozhuang Vocat Coll Sci & Technol Dept Training Ctr Zaozhuang Peoples R China

ISBN: (纸本)9783037853191

In this paper, a dynamics model basing on the bp algorithm is proposed. The algorithm that can enhance the performance of the adaptability is the combination of torque control and a compensation structure using ANN. Errors are inevitable while the modeling for dynamics of robot manipulator. But they can be compensated by the compensation structure of ANN. The result of simulation shows that the controller can get the performance of trajectory well and the structure of controller is feasible.

关键词： ANN bp algorithm Robot Dynamics

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