检索结果-内蒙古大学图书馆

Recognition of the flow regimes in the spouted bed based on fuzzy c-means clustering

POWDER TECHNOLOGY 2011年第1-3期205卷 201-207页

作者： Wang, Chun-hua Zhong, Zhao-ping Li, Rui E, Jia-qiang Southeast Univ Sch Energy & Environm Nanjing 211189 Peoples R China Hunan Univ Sch Mech & Automot Engn Changsha 410082 Hunan Peoples R China

Hilbert-Huang transformation has been applied to extract eigenvectors from the pressure fluctuation signals in the spouted bed. According on these eigenvectors, the flow regimes in the spouted bed could be classified into 4 clusters including 'packed bed', 'stable spouting', 'bubbling fluidized bed' and 'slugging bed' by chaos optimized fuzzy c-means clustering algorithm. The Elman neural network was used to recognize these four flow regimes, and the parameters in the Elman neural network were optimized by adaptive fuzzy particle swarm optimization algorithm. The recognition accuracies of 'packed bed', 'stable spouting', 'bubbling fluidized bed' and 'slugging bed' can reach 85%, 90%, 85% and 80% respectively. (C) 2010 Elsevier B.V. All rights reserved.

关键词： Fuzzy c-means clustering chaos optimization algorithm Hilbert-Huang transformation Elman neural network Flow regimes

来源：评论

学校读者我要写书评

暂无评论

A New Coupled chaos optimization-Projection Pursuit Model for Initial Water Rights Allocation in the Watershed

A New Coupled Chaos Optimization-Projection Pursuit Model fo...

引用

2011 International Symposium on Water Resource and Environmental Protection(ISWREP 2011)

作者： Chun Xiao,Dongguo Shao,Fengshun Yang,Wenquan Gu,Kui Wang State Key Laboratory of Water Resources & Hydropower Engineering Science Wuhan University Wuhan,China

Initial water rights allocation in the watershed is a typical multidimensional, nonlinear, nonnormal decision problem, and it is difficult for traditional methods to determine weights and solve the decision problem. In this study, a new coupled chaos optimization-projection pursuit model is established, in which projection pursuit is adopted to reduce the dimensions of the decision problem and chaos optimization algorithm is presented to search the optimal projection direction. The model is directly driven by the sample data, and the optimal values of various schemes are calculated according to the optimal projection direction. In the coupled model, the difficulty that the objective functions and constraints must be continuous and differential can be avoided and the calculation efficiency is greatly enhanced, and the calculation of weights is objective and fair. The model proposed in this study provides a new method for initial water rights allocation in the watershed. Finally, the rationality and validity of this model is verified by a case study of initial water rights allocation in Fuhuan River.

关键词： initial water rights allocation projection pursuit chaos optimization algorithm projection direction

来源：评论

学校读者我要写书评

暂无评论

Improved chaos optimization method in the fractional Fourier transform

Improved chaos optimization method in the fractional Fourier...

引用

2nd International Conference on Signal Acquisition and Processing

作者： Wei Hongkai Wang Pingbo Cai Zhiming Fu Yinfeng Navy Univ Engn Wuhan Hubei Peoples R China Shanghai Marine Elect Equipment Res Inst Shanghai Peoples R China

ISBN: (纸本)9780769539607

In order to overcome the inefficiency shortcoming of traditional step-based searching method for extremum seeking in two-dimensional fractional Fourier domain, the chaos optimization method is introduced and applied successfully in fractional Fourier transform. To accelerate the convergence further, two improved chaos optimization methods are proposed. The performances of the proposed optimization methods are verified by comparing with step-based method and other intelligent optimization methods such as genetic algorithms, continuous ant colony algorithm and particle swarm optimization based on simulation. Results show that the second presented chaos optimization algorithm is more preferable considering computation efficiency, precision and resolution.

关键词： fractional Fourier transform genetic algorithms continuous ant colony algorithm particle swarm optimization chaos optimization algorithm extremum seeking

来源：评论

学校读者我要写书评

暂无评论

Prediction of jet penetration depth based on least square support vector machine

引用

POWDER TECHNOLOGY 2010年第2期203卷 404-411页

Experiments to investigate the jet penetration depth were carried out. The jet penetration depth increases with the increase of spouting gas velocity, spouting nozzle diameter and carrier gas density, but decreases with the rise of the static bed height, particle density, particle diameter and fluidized gas rate. The intelligent model to predict the jet penetration depth has been established based on least square support vector machine and adaptive mutative scale chaos optimization algorithm. The prediction performance of the intelligent model is better than empirical correlations and neural network. (C) 2010 Elsevier B.V. All rights reserved.

关键词： Spout-fluidized bed Jet penetration depth Least square support vector machine chaos optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Research in Reservoir Optimal Operation Based on Modified Ant Colony optimization

Research in Reservoir Optimal Operation Based on Modified An...

引用

8th World Congress on Intelligent Control and Automation (WCICA)

作者： Wang Zhengchu Zhou Muxun Li Jun Fan Jian Zan Baishao Taizhou Coll Sch Mech Engn Taizhou 318000 Peoples R China Taizhou Coll Sch Phys & Electron Engn Taizhou 317000 Peoples R China

ISBN: (纸本)9781424467129

In this paper, the problem of single reservoir operation optimization is studied. Firstly, the background and mathematic model of single reservoir operation optimization are given. Then modified ant colony optimization (MACO) is presented. According to the ergodicity, stochastic property and regularity of chaos, search and optimization are carried out using the chaos variables. Population entropy is introduced to judge whether the algorithm falls in local peak or not, and catastrophe operation is also adopted. Then detailed solving steps of reservoir operation optimization based on MACO are given. Lastly, an instance is given. By calculations of the instance and comparison with other algorithms, it proves the algorithm has much stronger ability of local search and better search efficiency. It also can find better solution and certifies that this method is feasible and valid.

关键词： optimal operation ant colony optimization (ACO) reservoir chaos optimization algorithm entropy

来源：评论

学校读者我要写书评

暂无评论

Operation of Reservoir Based on chaos Ant Colony algorithm

Operation of Reservoir Based on Chaos Ant Colony Algorithm

引用

2nd International Symposium on Computational Intelligence and Design

作者： Wang, Zhiliang Han, Jingyan Pan, Wenxue North China Univ Water Conservancy & Elect Power Coll Math & Informat Computat Zhengzhou Peoples R China North China Univ Water Conservancy & Elect Power Coll Hydraul Engn Zhengzhou Peoples R China Shanxi Reconnaissance Design & Res Inst Water Env Xian Peoples R China

ISBN: (纸本)9780769538655

The hybrid algorithm based on the chaos optimization algorithm and ant colony algorithm is proposed in this paper. It is an approach to solve the optimal operation issue of a reservoir. According to the randomness and ergodicity of chaos, by searching all the chaos variables and walking all the statuses, the hybrid algorithm can effectively increase the computing efficiency, is easy to improve the stagnation and could not fall into the local optimization. And by using the advantage of positive feedback information of the ant colony algorithm, the researching efficiency is enhanced. The result showed that the algorithm is very efficient and can rind the global optimization.

关键词： reservoir optima loperation chaos optimization algorithm ant colony algorithm

来源：评论

学校读者我要写书评

暂无评论

Rotor speed identification on DTC system based on neural network of new chaos optimizer algorithms

Rotor speed identification on DTC system based on neural net...

引用

7th International Conference on Machine Learning and Cybernetics

作者： Cao, Cheng-Zhi Wang, Wen-Jing Li, Feng-Kun Shenyang Univ Technol Sch Informat Sci & Enginecring Learning Ctr Shenyang 110023 Peoples R China

ISBN: (纸本)9781424420957

To solve the disadvantage that BP neural network is liable to get into the local minimum, a novel learning algorithm that new chaos optimizer BP neural network is proposed. By the use of the properties of ergodicity and randomness of chaos algorithms, and combining global rough search and local elaborate search of chaotic variable, get the global optimization weight values of neural network. By the simulation of Direct Torque Control (DTC) system based on new chaos neural network, the simulation results show that the rotor speed identification has high approximation precision and good generalization capability, and provides a new plan for the speed-sensorless DTC system.

关键词： chaos optimization algorithm BP neural network DTC rotor speed identification

来源：评论

学校读者我要写书评

暂无评论

Solving for the Problem of Test Selection Based on chaos Genetic algorithm

Solving for the Problem of Test Selection Based on Chaos Gen...

引用

2nd International Symposium on Test Automation and Instrumentation

作者： Lv Xiaoming Huang Kaoli Lian Guangyao Ordnance Engn Coll Shijiazhuang 050003 Peoples R China

ISBN: (纸本)9787506292207

Test selection is a problem of NP-hard solution. Genetic algorithm (GA) is a method of global searching strategy and can be used to solve the problem above. But there are several drawbacks of GA, such as bad initial group, slowly searching in final phase. In order to overcome these drawbacks of GA and improve the efficiency of searching, we apply chaos optimization algorithm to GA to improve it. The basic idea of improving is that we use chaos algorithm to produce better initial group, and apply chaos to optimize the individual of group which has been optimized though genetic operating with certain probability. Finally, we realize it though software of MATLAB and use an example to demonstrate it. Though optimizing by this improved chaos Genetic algorithm, we get better result. This has proved that this improved algorithm is efficient for solving for the problem of test selection.

关键词： test selection chaos optimization algorithm genetic algorithm MATLAB

来源：评论

学校读者我要写书评

暂无评论

Solving for the Problem of Test Selection Based on chaos Genetic algorithm

Solving for the Problem of Test Selection Based on Chaos Gen...

引用

第二届国际测量仪器与测试自动化学术会议

作者： Lv Xiaoming Huang Kaoli Lian Guangyao (Ordnance Engineering College Shijiazhuang 050003 China)

＜正＞Test selection is a problem of NP-hard solution. Genetic algorithm （GA） is a method of global searching strategy and can be used to solve the problem *** there are several drawbacks of GA,such as bad initial group,slowly searching in final *** order to overcome these drawbacks of GA and improve the efficiency of searching,we apply chaos optimization algorithm to GA to improve *** basic idea of improving is that we use chaos algorithm to produce better initial group,and apply chaos to optimize the individual of group which has been optimized though genetic operating with certain ***,we realize it though software of MATLAB and use an example to demonstrate *** optimizing by this improved chaos Genetic algorithm,we get better *** has proved that this improved algorithm is efficient for solving for the problem of test selection.

关键词： test selection chaos optimization algorithm genetic algorithm MATLAB

来源：评论

学校读者我要写书评

暂无评论

ROTOR SPEED IDENTIFICATION ON DTC SYSTEM BASED ON NEURAL NETWORK OF NEW chaos OPTIMIZER algorithmS

ROTOR SPEED IDENTIFICATION ON DTC SYSTEM BASED ON NEURAL NET...

引用

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： CHENG-ZHI CAO WEN-JING WANG FENG-KUN LI School of Information Science and Engineering Learning Center Shenyang University of Technology Shenyang 110023 China

关键词： chaos optimization algorithm BP neural network DTC Rotor speed identification

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：