检索结果-内蒙古大学图书馆

Modeling of mechanical properties of as-cast Mg-Li-Al alloys based on PSO-bp algorithm

China Foundry 2012年第2期9卷 119-124页

作者： Li Ming Hao Hai Zhang Aimin Song Yingde Liu Zhao Zhang Xingguo School of Materials Science and Engineering Dalian University of TechnologyDalian 116024China

Artificial neural networks have been widely used to predict the mechanical properties of alloys in material research. This study aims to investigate the implicit relationship between the compositions and mechanical properties of as-cast Mg-Li-AI alloys. Based on the experimental collection of the tensile strength and the elongation of representative Mg-Li-AI alloys, a momentum back-propagation （bp） neural network with a single hidden layer was established. Particle swarm optimization （PSO） was applied to optimize the bp model. In the neural network, the input variables were the contents of Mg, Li and AI, and the output variables were the tensile strength and the elongation. The results show that the proposed PSO-bp model can describe the quantitative relationship between the Mg-Li-AI alloy＇s composition and its mechanical properties. It is possible that the mechanical properties to be predicted without experiment by inputting the alloy composition into the trained network model. The prediction of the influence of AI addition on the mechanical properties of as-cast Mg-Li-AI alloys is consistent with the related research results.

关键词： artificial neural networks Mg-Li-Al alloys bp algorithm particle swarm optimization mechanical properties

来源：评论

学校读者我要写书评

暂无评论

Main steam temperature control based on GA-bp optimised fuzzy neural network

引用

INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION 2017年第3期9卷 150-160页

作者： Tian, Zhongda Shenyang Univ Technol Coll Informat Sci & Engn Shenyang 110870 Liaoning Peoples R China

The high inertia and long time-delay characteristics of main steam temperature control system in a thermal power plant will reduce the system control performance. In order to solve this problem, a genetic algorithm-back propagation (GA-bp) optimised fuzzy neural network control strategy is proposed in this paper. Gauss function is chosen as membership function and fuzzy neural network is designed. GA combined with bp algorithm is chosen for the offline parameters optimisation of fuzzy neural network, and then bp algorithm is used for online parameters optimisation. GA-bp optimisation algorithm overcomes the shortcomings of GA algorithm or bp algorithm which is used to adjust the parameters of fuzzy neural network controller. The simulation experiment compared with cascade PID and fuzzy neural network is carried out. Simulation results show that the controller based on GA-bp optimised fuzzy neural network has faster response speed, smaller overshoot and error, better tracking performance, and reduces the lag effect of the control system under different load, working conditions and membership functions.

关键词： main steam temperature genetic algorithm bp algorithm fuzzy control fuzzy neural network

来源：评论

学校读者我要写书评

暂无评论

Near Optimal Learning Rate bp algorithm and Its Application in Traffic Forecast

Near Optimal Learning Rate BP Algorithm and Its Application ...

引用

2nd International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2011)

作者： Qin, Liming Zhang, Haitao Henan Univ Sci & Technol Coll Elect & Informat Engn Luoyang 471003 Henan Peoples R China

ISBN: (纸本)9783037852828

Aimed at the inadequacy of the standard bp algorithm, a near optimal learning rate bp algorithm (NOLRbp) is presented. Selecting the learning rate of the algorithm based on one-dimensional search algorithm of optimization theory avoids the blindness in determining the learning rate. Simulations show that the algorithm is superior to the standard bp algorithm (SDbp), momentum bp algorithm (MObp) and variable learning rate bp algorithm (VLbp).

关键词： Neural Network bp algorithm Near Optimal Learning Rate One-dimensional Search

来源：评论

学校读者我要写书评

暂无评论

Application Research of Improved bp algorithm

Application Research of Improved BP Algorithm

引用

2nd International Conference on Functional Manufacturing and Mechanical Dynamics

作者： Cheng, Yang Chao, Shi Chongqing Univ Coll Mech Engn Chongqing 630044 Peoples R China

ISBN: (纸本)9783037852989

Based on JS engine, this paper made a detailed analysis on the standard bp algorithm, bp algorithm with additional momentum item, bp algorithm of parameter to adjust and bp network based on LM algorithm. Finally, this paper gets the optimization algorithm and network by comparing in training step and diagnostic accuracy. In the end, the front panel of the diagnosis system is designed by MATLAB graphical user interface.

关键词： bp algorithm additional momentum adaptive learning rate Levenberg- Marquard

来源：评论

学校读者我要写书评

暂无评论

An Improved bp algorithm Based on steepness factor and adaptive learning rate adjustment factor

An Improved BP Algorithm Based on steepness factor and adapt...

引用

2nd International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2011)

作者： Zhang, Xiuhua Ren, Fujun Jiang, Yongcheng Harbin Univ Sci & Technol Coll Mech & Engn Harbin Peoples R China Jiamusi Univ Coll Mech Engn Jiamusi Peoples R China

ISBN: (纸本)9783037852828

bp network is the most widely used of the neural net work model, but there are many problems of slow convergence speed and easily getting into the local minimum in the conventional bp algorithm. For this, an improved algorithm is proposed. Momentum term is added, steepness factors are introduced and adaptive learning rate adjustment factor is added. In the Matlab platform simulations are carried out by each improvement methods on the same bp neural network. The results show that: Convergence of improved bp network is decreased from 1000 to 49 and the error is decreased from 10(-2) to 10(-6). The convergence speed has been significantly improved and the error has been decreased. Using the synthesis improvement method effect is obvious and it provides a good theoretical basis for the practical application.

关键词： bp algorithm momentum steepness factor adaptive learning rate

来源：评论

学校读者我要写书评

暂无评论

The Reinforcement Rib Performance Prediction Based on the bp algorithm and the Finite Element Analysis

The Reinforcement Rib Performance Prediction Based on the BP...

引用

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

作者： Su, Liangyao Li, XiangSheng Yin, Xiongfei Feng, Xiaoyan Ruan, ShangWen Zhejiang Sci Tech Univ Hangzhou 310018 Zhejiang Peoples R China Hangzhou Wahaha Grp Hangzhou 311215 Zhejiang Peoples R China

ISBN: (纸本)9783037852590

The reinforcement rib design is one of the key parts in entire bottle design. This paper presents the rib performance prediction system based on the bp algorithm and the finite element analysis, which adopts the finite element analysis results as its learning samples, sets up the rib performance prediction system with bp artificial neural network. The results show that the artificial neural network plays an important role in rib performance prediction;meanwhile it can guide the bottle design in practical terms.

关键词： bp algorithm Finite analysis Reinforcement rib artificial neural network

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis Method of Distributed Power Distribution Network Based on Advanced Petri net 29

Fault Diagnosis Method of Distributed Power Distribution Net...

引用

第29届中国控制与决策会议

作者： Liu Yunjia Gao Yiwei Liu Jialiang Chu Yongjin State Key Laboratory of Operation and control of Renewable Energy & Storage Systems China Electric Power Research Institute School of Information Science & Engineering Northeastern University

ISBN: (纸本)9781509046584

A DG-based distributed fault diagnosis method based on bp neural network with dynamic adaptive fuzzy Petri nets is proposed to solve the problem that traditional fault diagnosis methods lead to complex matrix and switching *** this paper,the general fault diagnosis model is constructed,and the simplified model of protection information is processed in the form of *** the operation mode and protection are changed,the model need not be reestablished,and the logic of the protection circuit breaker error correction is used with high fault ***,bp algorithm is used to train the fuzzy parameters in the ***,simulation test is carried out for the distribution network with DG,which verifies the reliability and fastness of the method.

关键词： Petri net distributed power supply fault diagnosis bp algorithm

来源：评论

学校读者我要写书评

暂无评论

Predictive Study of Forest Fires Based on MIVbp-SVM 29

Predictive Study of Forest Fires Based on MIVBP-SVM

引用

第29届中国控制与决策会议

作者： Liu Ming Zhang Shuangquan He Yude Liu Ziyi Basic Science College Changchun University of Technology Faculty of Math University of Waterloo

ISBN: (纸本)9781509046584

In this paper, we take the average impact value method as the evaluation of neural network variable correlation indicators, analysis the data provided by Professor *** and A. Morais from University of Minho(Portugal) using the MIVbp algorithm to filtrate 13 characterization factors to get 7 characterization parameters affect forest fires, construct the simulation model of the prediction of forest fires based on the support vector machine algorithm, using a test set for testing, the accuracy rate reached 91.89%.

关键词： MIV algorithm bp algorithm Support Vector Machine Forest Fire

来源：评论

学校读者我要写书评

暂无评论

Influence of the Stop-and-Hop Assumption on Synthetic Aperture Sonar Imagery 17

Influence of the Stop-and-Hop Assumption on Synthetic Apertu...

引用

IEEE 17th International Conference on Communication Technology (ICCT)

作者： Zhang, Xuebo Chen, Xiaohui Qu, Wu Sci & Technol Underwater Acoust Antagonizing Lab Zhanjiang Peoples R China

ISBN: (纸本)9781509039449

Stop-and-hop (S&H) assumption is usually exploited by most multiple receiver synthetic aperture sonar (SAS) imaging geometries, which are the basis of the SAS image formation algorithms. It is a reasonable approximation for the target focusing with a slow sonar platform speed. However, it is not suitable for the systems with a fast speed at far range as this assumption would deteriorate the target focusing performances. This paper firstly analyzes the error of S&H approximation in the 2-D space domain, which shows the necessity of the compensation for this approximation error. Based on back projection (bp) algorithm, simulated data is processed with and without the S&H approximation, respectively. The experiments are carried out with two sonar platform velocities, i. e. slow and fast sonar platform velocities. The processing results further indicate that the S&H error should be compensated when the system is operated with a fast speed.

关键词： multiple receiver synthetic aperture sonar the error S&H approximation bp algorithm

来源：评论

学校读者我要写书评

暂无评论

bp algorithm of ANN Applied in Temperature Control Tests with MATLAB

BP Algorithm of ANN Applied in Temperature Control Tests wit...

引用

2011 International Conference on Computer and Automation Engineering(ICCAE 2011)

作者： Yao Lei a*,Zhijun Xu a and Wenbo Tang b a Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Graduate School of Chinese Academy of Sciences,Changchun130033,China b Changchun University of Science and Technology,Graduate School of Changchun University of Science and Technology,Changchun130022,China

This paper predicts the temperature of optical transmitter and receiver through the bp algorithm based on MATLAB simulation *** inner temperature is affected by ambient temperature,heating power,air pressure,wrapping mode,whose stabilization needs corresponding adjustment of these *** the bp network structure with 4-8-5-1 is adopted,the Tansig function is applied in the implication layer,at the same time,the Purelin function is applied in the output *** last,the finite samples are trained and tested through the *** with the PID algorithm,the simulation result shows that there is a higher precision and faster convergence in the bp *** the meantime,the generalization ability of the bp network gives inner temperature when there are 4 inputs,which reflects the basic feature of the whole system.

关键词： ANN bp algorithm temperature control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：