检索结果-内蒙古大学图书馆

International Workshop on Advanced Computational Intelligence (IWACI)

作者： M. Norouzi M. Mansouri M. Teshnehlab M. Aliyari Shoorehdeli Faculty of Engineering Department of Computer Engineering Science and Research Branch Islamic Azad University Iran Intelligent System Laboratory (ISLAB) Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering Advanced Process Automation &Control Laboratory (APAC) K.N. Toosi University of Technology Tehran Iran

In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison with conventional trigonometric neural networks and even other types of neural networks. Due to the low convergence rate and high posibility of trapping in a local minimum of backpropagation algorithm, Extended Kalman Filter algorithm is used to train the neural network's parameters which they appear in a nonlinear form. The Simulation of the suggested neural network based on the prediction of Mackey-Glass time series and identification of a nonlinear dynamic ystem reveals the efficiency of the proposed network. To show the efficiency of this method, the results are compared with the results of the others.

关键词： Biological neural networks Kalman filters Equations Neurons Vectors Covariance matrix Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Two-Stage Method and Application for Molten Iron Scheduling Problem between Iron-Making Plants and Steel-Making Plants

引用

IFAC Proceedings Volumes 2011年第1期44卷 9476-9481页

作者： Hui Huang Tianyou Chai Xiaochuan Luo Binglin Zheng Hong Wang State Key Laboratory of Integrated Automation for Process Industry (Northeastern University) Shenyang China 110819 (Tel: +86-24-83678332) National Metallurgical Automation Engineering Technology Research Center Northeastern University Shenyang China 110819 Control Systems Centre School of Electrical and Electronic Engineering the University of Manchester P O Box 88Manchester M60 1QD UK

Abstract In this paper, a two-stage method is proposed to solve the molten iron scheduling problem (MISP). Firstly, a 0-1 mixed-integer nonlinear programming model is established for special type of molten iron scheduling problem (STMISP). A method to solve mathematical model of STMISP is presented, which include assigning machine strategy of STMISP and determining mathematical model of eliminating machine conflicts. Secondly, on the basis of results of STMISP, a heuristic algorithm based on the rule of first come first serve (FCFS) principle is established to solve normal type of molten iron scheduling problem (NTMISP). The molten iron scheduling system with the two-stage method has been successfully applied to Shanghai Baosteel Company to realize quickly optimal molten iron scheduling. Application results show that the two-stage method is both effective and feasible.

关键词： Molten iron scheduling problem Two-stage method Hybrid flow shop Mixed-integer nonlinear programming model Heuristic algorithm

来源：评论

学校读者我要写书评

暂无评论

Training ANFIS system with DE algorithm

Training ANFIS system with DE algorithm

引用

International Workshop on Advanced Computational Intelligence (IWACI)

作者： Allahyar Z. Zangeneh Mohammad Mansouri Mohammad Teshnehlab Ali K. Sedigh Computer Engineering Department Science and Research Branch Islamic Azad university of Tehran Iran Intelligent System laboratory (ISLAB) Control Department K. N. Toosi University of Technology Tehran Iran Advanced Process Automation & Control laboratory (APAC) Control Department K. N. Toosi University of Technology Tehran Iran

In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.

关键词： Vectors Adaptive systems Input variables Training Mathematical model Equations Firing

来源：评论

学校读者我要写书评

暂无评论

New method about how to construct decision tree based on association rule

New method about how to construct decision tree based on ass...

引用

IEEE International Workshop on Open-source Software for Scientific Computation (OSSC)

作者： Jing Gao Baoyong Zhao Information College Capital University of Economics and Business Beijing China School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education China

ISBN: (纸本)9781612844923

Nowadays, decision tree is widely used as one of the most powerful tools in data mining. However, to construct an optimization decision tree is a complete NP problem. So a new method about how to construct decision tree, which is based on association rule mining, is proposed in this paper. Firstly, approximate exact rule with high reliability is defined. Secondly new attributes are generated from the approximate exact rule. And then its evaluation method is discussed in detail. Thirdly, the decision tree is constructed with both the new generated attributes and its original data. Finally, after comprehensive analysis, experimental results show that this new method has higher accuracy than any other old method.

关键词： Association rules Decision trees Approximation algorithms Classification algorithms Itemsets Accuracy

来源：评论

学校读者我要写书评

暂无评论

Dynamic Optimal Scheduling Method and Its Application for Converter Fault in Steelmaking and Continuous Casting Production process

引用

IFAC Proceedings Volumes 2011年第1期44卷 9506-9511页

作者： Shengping Yu Tianyou Chai Hong Wang Xinfu Pang Binglin Zheng State Key Laboratory of Integrated Automation for Process Industry (Northeastern University) Shenyang China 110004 (Tel: +86-24-83689665-8013) National Metallurgical Automation Engineering Technology Research Center Northeastern University Shenyang China 110004 Control Systems Centre School of Electrical and Electronic Engineering the University of Manchester P O Box 88 Manchester M60 1QD UK

Abstract In steelmaking and continuous casting (SMCC) production process, converter fault can lead to unexpected changes to the pre-specified converter-continuous caster production mode so that the original scheduling plan becomes unrealizable. In this paper, the dynamic scheduling problem in response to converter fault is firstly analyzed. This is then followed by the establishment of a novel multi-objective nonlinear programming model (MONPM) by introducing the production mode parameter α, production schedule parameter β and χ. The proposed method considers changes in production mode, production schedule of charge, the interval characteristics of processing time. In specific, a two-stage dynamic optimal scheduling method is proposed including the production path planning of charges (PPP) and the production time scheduling (PTS). As a result, a dynamic optimal scheduling software system (DOSSS) is developed and is successfully applied to the scheduling of the largest iron and steel company (BaoSteel) in China. The real-time application shows that the proposed method can efficiently reduce scheduling time, significantly increase the outputs of converters and dramatically shorten the redundant waiting time for molten steel.

关键词： steelmaking and continuous casting dynamic optimization production mode nonlinear programming scheduling system

来源：评论

学校读者我要写书评

暂无评论

Optimization research of genetic neural network based on Scilab

Optimization research of genetic neural network based on Sci...

引用

IEEE International Workshop on Open-source Software for Scientific Computation (OSSC)

作者： Baoyong Zhao Yingjian Qi Xing Tao School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education China Science School Communication University of China Beijing China Beijing Research Center of Urban System Engineering Beijing China

ISBN: (纸本)9781612844923

Radial basis function (RBF) network is one of the significant neural networks. It has been used successfully in various fields. But in RBF network approximation algorithm, the initial value of the network weights, Gauss function center vector and broad-based vector is not easy to determine, and when these parameter choice is undeserved, RBF network approximation precision will decline and even the serious consequences of network spread will be produced. By using genetic algorithm in this paper, which can better realize RBF network parameter optimization, thereby increasing the accuracy of approximation. Scilab is open source software and has good simulation capabilities. Experiments using Scilab shows that the optimization method of genetic neural network is feasible and results are satisfied.

关键词： Genetic algorithms Radial basis function networks Optimization Approximation methods Vectors Biological cells Genetics

来源：评论

学校读者我要写书评

暂无评论

A new double frequency exciting mode for the electromagnetic flowmeter

A new double frequency exciting mode for the electromagnetic...

引用

International Conference on Electric Information and control engineering (ICEICE)

作者： Shizhong Tang Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

ISBN: (纸本)9781424480364

A new double frequency and rectangular waveform exciting mode is proposed, as to overcome the disadvantage of the current mode. The designed waveform is made up of two kinds of frequencies, the high frequency of 75Hz and the low frequency of 6.25Hz. The high frequency is used to reduce the interference from flow noise. The low frequency is introduced to keep the stabilization of zero. The design is established by using the FPGA and DDS technology. A 10-bit D/A converter and WCS circuit are adopted to change the voltage signal from FPGA for a current one. The design consists of a power amplification circuit as well, which has a function of magnifying the output current and boosting the ability of load. The characteristics of the new exciting mode are analyzed in details, and the design of the hardware and software is introduces. The experimental result indicates that once the new exciting mode is established, the error of differential inference and orthogonal inference can be reduced greatly. Besides, the measurement accuracy is improved at the same time.

关键词： Field programmable gate arrays Electromagnetics Patents Instruments Frequency measurement Automatic frequency control Electromagnetic scattering

来源：评论

学校读者我要写书评

暂无评论

Generating Li-Yorke chaos in a stable continuous-time T-S fuzzy model via time-delay feedback control

引用

Chinese Physics B 2010年第7期19卷 141-149页

作者：孙秋野张化光赵琰 College of Information Science and Engineering Northeastern University Key Laboratory of Integrated Automation of Process Industry Ministry of EducationNortheastern University Department of Automatic Control Engineering Shenyang Institute of Engineering

This paper investigates the chaotification problem of a stable continuous-time T S fuzzy system. A simple nonlinear state time-delay feedback controller is designed by parallel distributed compensation technique. Then, the asymptotically approximate relationship between the controlled continuous-time T-S fuzzy system with time-delay and a discrete-time T-S fuzzy system is established. Based on the discrete-time T-S fuzzy system, it proves that the chaos in the discrete- time T-S fuzzy system satisfies the Li-Yorke definition by choosing appropriate controller parameters via the revised Marotto theorem. Finally, the effectiveness of the proposed chaotic anticontrol method is verified by a practical example.

关键词： chaotification T-S fuzzy model time-delay feedback Li Yorke chaos 1

来源：评论

学校读者我要写书评

暂无评论

Identification of the nonlinear, multivariable behavior of mechatronic combustion engines

Identification of the nonlinear, multivariable behavior of m...

引用

5th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2010

作者： Isermann, R. Schreiber, A. Institute of Automatic Control Laboratory of Control Engineering and Process Automation TU Darmstadt Germany

ISBN: (纸本)9783902661760

The identification of the nonlinear dynamic behavior of combustion engines on test benches is described. A method, that is based on the combination of statistical stationary engine measurement (Design of Experiments - DoE) and dynamic identification techniques for nonlinear multi-input systems is shown. The dynamics are excited by several amplitude-modulated pseudorandom-binary- signals (APRBS), which act on the engine simultaneously, in order to allow a short measurement time period. To show the applicability of the described identification and modelling methods several models for a common-rail diesel engine with exhaust gas recirculation and variable geometry turbocharger (VGT) are shown, with five input variables and the outputs nitrogen-oxide emissions, opacity, air-fuel ratio (Lambda) and exhaust gas temperature. © 2010 IFAC.

关键词： Diesel engines

来源：评论

学校读者我要写书评

暂无评论

Stationary global-local emission models of a CR-diesel engine with adaptive regressor selection for measurements of airpath and combustion

Stationary global-local emission models of a CR-diesel engin...

引用

作者： Sequenz, Heiko Mrosek, Matthias Isermann, Rolf Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University Darmstadt Germany

ISBN: (纸本)9783902661722

A model structure for stationary emission models is presented. The emissions NOx, soot and opacity are separately modeled. Model inputs are the air mass flow rate, charge air pressure, intake temperature, the location of mass fraction burned 50% and the engine operation point. Local polynomials are trained for each operation point, defined by engine speed and injection quantity. To increase accuracy a selection algorithm of the significant regressors is presented. The local models are composed by means of weighting functions, depending on the engine operation points, to global emission models. For a rasterized operation range, the weighting can be interpreted as a linear interpolation of local models. This enables an easy implementation to common electronic control units (ECUs). Measurements from a CR-Diesel engine show the quality of the models. © 2010 IFAC.

关键词： Diesel engines

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：