检索结果-内蒙古大学图书馆

2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011

作者： Montaseri, Ghazal Yazdanpanah, Mohammad Javad Amiri, Mahmood School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran

ISBN: (纸本)9781457711237

In this paper, a biologically inspired controller is proposed for desynchronization of two coupled limit-cycle oscillators. Recently, researchers have shown that astrocyte has the potential to desynchronize the synchrony between two coupled neurons. So, first, based on the astrocyte model, the structure of the dynamic controller is suggested. Then, controller parameters are tuned through an optimization algorithm. The suggested controller has 3 important properties: 1) the controller desynchronizes the oscillators without any undesirable effects on the inherent behavior of oscillators (e.g. stopping, annihilating or starting divergent oscillations);2) it requires little effort to maintain the desirable desynchronized state;and 3) the controller is robust with respect to parameters variations. Simulation results reveal the efficiency of the proposed controller. © 2011 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

A new active queue management algorithm based on neural networks PI

A new active queue management algorithm based on neural netw...

引用

作者： Waskasi, M. Yaghoubi Yazdanpanah, M.J. Yazdani, N. Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran P.O. Box: 14395/515 Tehran Iran

ISBN: (纸本)008045108X

Active Queue Management (AQM) applies a suitable control policy upon detecting congestion in networks. in this paper, an adaptive Proportional-Integral (PI) controller based on Artificial Neural Networks (ANN) is applied to AQM for the objective of congestion avoidance and control in middle nodes. The proposed controller is simple and can be easily implemented in high-speed routers. Neural Network PI (NNPI) dynamically adapts its parameters with respect to changes in the system. It is anticipated that this results in better response compared to linear controllers due to the nonlinear nature of NNPI. We simulated our method in ns2 and compared its performance with the conventional PI controller. The simulation results show NNPI yields better performance. Copyright © 2005 IFAC.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Modelling time dependent swelling potential of mudrock using laboratory tests and artificial neural network

引用

Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology 2008年第1期117卷 32-41页

作者： Doostmohammadi, R. Moosavi, M. Araabi, B.N. Mining Engineering Department Zanjan University 5 km Tabriz road Zanjan Iran School of Mining Engineering University of Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Iran

The focus of this research work is modelling time dependent swelling strain and pressure simultaneously in weak rock. Various swelling potential under different boundary conditions is considered. Free and semiconfined swelling strain and swelling pressure under oedometric condition are the most proposed tests for determination of the swelling potential of weak rock. In this paper, a modified swelling strain and pressure test is introduced using springs to provide deformable axial stiffness. The swelling strain and pressure of mudrock are modelled by artificial neural network for various swellable clay, carbonate, initial water content and different boundary stiffness, by using a combination of the proposed modified test along with the existing tests. This method correlates the results of laboratory tests with an acceptable accuracy. The proper operation of the developed model for predicting the time dependent swelling strain and pressure of mudrock under deformable and rigid axial boundaries is confirmed. © 2008 Institute of Materials, Minerals and Mining.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Transient control and voltage regulation of power systems using approximate solution of HJB equation

Transient control and voltage regulation of power systems us...

引用

2003 European control Conference, ECC 2003

作者： Kharaajoo, Mahdi Jalili Yazdanpanah, M.J. Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran P.O. Box: 14395/515 Tehran Iran

ISBN: (纸本)9783952417379

In this paper a new method to design a nonlinear optimal controller using approximate solution of the HJB equation is presented. Using this method the power system stabilizer and voltage regulator is designed. In this paper the advantages of the controller with nonlinear feedback will be shown. Simulation results reveal the effectiveness of the proposed approach. © 2003 EUCA.

关键词： Voltage regulators

来源：评论

学校读者我要写书评

暂无评论

High performance speed control of interior permanent magnet synchronous motors with maximum power factor operation

High performance speed control of interior permanent magnet ...

引用

2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003

作者： Fazai, Reza Jalili-Kharaajoo, Mahdi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran P.O. Box 14395/515 Tehran Iran

ISBN: (纸本)0780381637

In this paper, a high performance control applied to speed control of interior permanent magnet synchronous motors. The design strategy is performed with constraint on the power factor, i.e., the power factor is maximized. In order to enhance the performance of the control system, a decoupling current vector control strategy is developed to ensure high performance operation. Simulation results reveal the effectiveness of the proposed controller. © 2003 IEEE.

关键词： Speed control

来源：评论

学校读者我要写书评

暂无评论

Alleviating the cold-start problem of recommender systems using a new hybrid approach

Alleviating the cold-start problem of recommender systems us...

引用

2010 5th International Symposium on Telecommunications, IST 2010

作者： Basiri, Javad Shakery, Azadeh Moshiri, Behzad Zi Hayat, Morteza School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran

ISBN: (纸本)9781424481835

Recommender systems have become significant tools in electronic commerce, proposing effectively those items that best meet the preferences of users. A variety of techniques have been proposed for the recommender systems such as, collaborative filtering and content-based filtering. This study proposes a new hybrid recommender system that focuses on improving the performance under the "new user cold-start" condition where existence of users with no ratings or with only a small number of ratings is probable. In this method, the optimistic exponential type of ordered weighted averaging (OWA) operator is applied to fuse the output of five recommender system strategies. Experiments using MovieLens dataset show the superiority of the proposed hybrid approach in the cold-start conditions. © 2010 IEEE.

关键词： Collaborative filtering

来源：评论

学校读者我要写书评

暂无评论

A hybrid approach to predict churn

A hybrid approach to predict churn

引用

2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010

作者： Basiri, Javad Taghiyareh, Fattaneh Moshiri, Behzad School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran

ISBN: (纸本)9780769543055

Acquiring new customers in any business is much more expensive than trying to keep the existing ones. As a result, many prediction algorithms have been proposed to detect churning customers. In this paper, the ordered weighted averaging (OWA) technique is brought to the attention of marketing researchers. We have applied OWA technique to improve the prediction accuracy of existing churn management systems. The decision lists of underlying prediction algorithms have been fused using OWA algorithm. Applied to the database of a telecommunication company, this method is found to significantly improve accuracy in predicting churn compared to the best existing result in the literature of the churn management. Our findings lead us to believe that using OWA technique could cause to increase profit for the companies. © 2010 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

A new approach to H∞ controller design with regional pole assignment

A new approach to H∞ controller design with regional pole a...

引用

5th International Conference on control and Automation, ICCA'05

作者： Adhami-Mirhosseini, Aras Namaki-Shoushtari, Omid Yazdanpanah, Mohammad J. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran Iran

ISBN: (纸本)0780391381

This paper addresses the design of state feedback H∞ robust controller that satisfies additional constraints on closed-loop poles location. Desired closed-loop poles location is considered to be a clipped sector, corresponding to some performance specifications such as suitable settling time and overshoot. In order to solve the H∞ optimization problem with two Lyapunov constraints, the Lagrange multiplier is used. It is shown that the appropriate controller is characterized by three coupled Algebraic Riccati Equations. The validity and applicability of this approach are illustrated by two benchmark examples and the results are compared with those of the conventional H∞ control problem and related works. © 2005 IEEE.

关键词： Closed loop control systems

来源：评论

学校读者我要写书评

暂无评论

Neuro predictive control of a heat exchanger: Comparison with generalized predictive: control

Neuro predictive control of a heat exchanger: Comparison wit...

引用

2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003

作者： Jalili-Kharaajoo, Mahdi Araabi, Babak N. Control and Intelligent Processing Center of Excellence Electrical Computer Engineering Department University of Tehran P.O. Box 14395/515 Tehran Iran

ISBN: (纸本)0780381637

In this paper, a neural network-based predictive controller is designed to govern the dynamics of heat exchanger process. Heat exchanger is a highly nonlinear process;therefore, a nonlinear prediction method can be a better match in a predictive control strategy. Advantages of neural networks for the process modeling are studied and a neural network based predictor is designed, trained and tested as a part of the predictive controller. The n e w predictive controller is utilized in setpoint tracking of a heat exchanger plant. The performance of the proposed controller is compared with that of Generalized Predictive control (GPC) through simulation studies. Obtained results demonstrate the effectiveness and superiority of the proposed approach. © 2003 IEEE.

关键词： Heat exchangers

来源：评论

学校读者我要写书评

暂无评论

An evolutionary fuzzy modeling approach for ANFIS architecture

An evolutionary fuzzy modeling approach for ANFIS architectu...

引用

2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005

作者： Rastegar, Farzad Araabi, Babak N. Lucas, Caro Control and Intelligent Processing Center of Excellence Electrical and Computer Eng. Department University of Tehran Tehran Iran School of Intelligent Systems Institute for Studies in Theoretical Physics and Mathematics Tehran Iran

ISBN: (纸本)0780393635

This paper proposes a cooperative evolutionary method for optimizing the properties of an ANFIS-architecture-based model where only the input-output data of the identified system are available. The primary tasks of fuzzy modeling are structure identification and parameter optimization: the former determines the numbers of membership functions and fuzzy if-then rules while the latter identifies a feasible set of parameters under the given structure. The proposed approach manages all mentioned attributes simultaneously. Particularly, number of rules and parameters of membership functions are realized by applying a novel approach using genetic programming and genetic algorithm whereas consequent parameters are tuned by using least-squares estimation. Finally, two examples of nonlinear system are given to illustrate the effective-ness of the proposed approach. © 2005 IEEE.

关键词： Evolutionary algorithms

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：