In view of the question that traditional significant wave height inversion method of ocean wave don't have high precision and its applicable scope is limited, a significant wave height inversion method based on radial basis function neural network is proposed. Assume significant wave height has a linear relationship with the radar image signal-to-noise ratio's square root, radial basis function neural network is adopt to study and to establish relational function between the two, thereby realizing the significant wave height inversion. The network architecture is designed, data center selection network weight setup and network learning method are discussed in detail. The simulation result shows, compared with the traditional inversion method, a better serviceability and the higher significant wave height inversion precision are obtained in this paper.
{"title":"An Inversion Method of Significant Wave Height Based on Radial Basis Function Neural Network","authors":"Liqiang Liu, Zhichao Fan, Chunyan Tao, Yuntao Dai","doi":"10.1109/CSO.2011.81","DOIUrl":"https://doi.org/10.1109/CSO.2011.81","url":null,"abstract":"In view of the question that traditional significant wave height inversion method of ocean wave don't have high precision and its applicable scope is limited, a significant wave height inversion method based on radial basis function neural network is proposed. Assume significant wave height has a linear relationship with the radar image signal-to-noise ratio's square root, radial basis function neural network is adopt to study and to establish relational function between the two, thereby realizing the significant wave height inversion. The network architecture is designed, data center selection network weight setup and network learning method are discussed in detail. The simulation result shows, compared with the traditional inversion method, a better serviceability and the higher significant wave height inversion precision are obtained in this paper.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122297594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents an improved differential evolution algorithm for solving constrained optimization problems. In the algorithm, the dynamically relaxing the constraint violation tolerance is given to balance the global search ability and the local search ability and to dynamically guide the individuals to tend to the feasible region. In addition, a new returning technique is used to ensure that the mutated individuals are all in the search space. It is shown by the numerical results that the proposed algorithm is effective and robust and has good global optimization ability.
{"title":"An Improved Differential Evolution Algorithm for Solving Constrained Optimization Problems","authors":"Yuelin Gao, Jun-min Liu","doi":"10.1109/CSO.2011.76","DOIUrl":"https://doi.org/10.1109/CSO.2011.76","url":null,"abstract":"This article presents an improved differential evolution algorithm for solving constrained optimization problems. In the algorithm, the dynamically relaxing the constraint violation tolerance is given to balance the global search ability and the local search ability and to dynamically guide the individuals to tend to the feasible region. In addition, a new returning technique is used to ensure that the mutated individuals are all in the search space. It is shown by the numerical results that the proposed algorithm is effective and robust and has good global optimization ability.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the extended $(F,alpha,rho,d)$-type I functions are introduced for a differentiable multiobjective programming problem. Based upon these generalized functions, sufficient optimality conditions are established for a feasible solution to be a weak efficient solution in constraint multiobjective programming problem. The results deepen and enrich the content of optimization theory and applications.
{"title":"Sufficiency in Multiobjective Programming Involving Extended (F, alpha, rho, d)-type I Functions","authors":"Guolin Yu","doi":"10.1109/CSO.2011.247","DOIUrl":"https://doi.org/10.1109/CSO.2011.247","url":null,"abstract":"In this paper, the extended $(F,alpha,rho,d)$-type I functions are introduced for a differentiable multiobjective programming problem. Based upon these generalized functions, sufficient optimality conditions are established for a feasible solution to be a weak efficient solution in constraint multiobjective programming problem. The results deepen and enrich the content of optimization theory and applications.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122425870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An integrated navigation system with synchronized space and time is constructed in this paper, which acquires information primarily from INS and ESGM, and GPS and DVL information as secondary sources. The error models of subsystems are set up respectively and the parameters matrixes of the state equation and measurement equation are fractional step discretization. A novel variable proportion adaptive federal Kalman filer algorithm is proposed for information fusion. The weights of filters are adjusted according to the work status of navigation sensors and validity of navigation information. Simulations are performed and the results show that high precision, stability and fault-tolerance can be obtained.
{"title":"A Variable Proportion Adaptive Federal Kalman Filter for INS/ESGM/GPS/DVL Integrated Navigation System","authors":"G. Yuan, Kefei Yuan, Hongwei Zhang","doi":"10.1109/CSO.2011.63","DOIUrl":"https://doi.org/10.1109/CSO.2011.63","url":null,"abstract":"An integrated navigation system with synchronized space and time is constructed in this paper, which acquires information primarily from INS and ESGM, and GPS and DVL information as secondary sources. The error models of subsystems are set up respectively and the parameters matrixes of the state equation and measurement equation are fractional step discretization. A novel variable proportion adaptive federal Kalman filer algorithm is proposed for information fusion. The weights of filters are adjusted according to the work status of navigation sensors and validity of navigation information. Simulations are performed and the results show that high precision, stability and fault-tolerance can be obtained.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122502846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A new path planning based on ocean Current information method for underwater vehicle was proposed. Considering the impact of ocean Currents in the path planning and the currents environmental field is generated using the historical statistical currents data. In order to plan out the path closer to people's wishes, the concept of assistant path point is proposed. After designing the evaluation function by considering the safety and economy of the path, Particle Swarm Optimization (PSO) algorithm was used for optimization of the global path planning for underwater vehicle. Simulation result shows that the planning path is closer to the real sailing track.
{"title":"A Path Planning Method for Underwater Vehicle Based on Ocean Current Information","authors":"Chang Liu, Yan-ling Hao, Feng Gao","doi":"10.1109/CSO.2011.51","DOIUrl":"https://doi.org/10.1109/CSO.2011.51","url":null,"abstract":"A new path planning based on ocean Current information method for underwater vehicle was proposed. Considering the impact of ocean Currents in the path planning and the currents environmental field is generated using the historical statistical currents data. In order to plan out the path closer to people's wishes, the concept of assistant path point is proposed. After designing the evaluation function by considering the safety and economy of the path, Particle Swarm Optimization (PSO) algorithm was used for optimization of the global path planning for underwater vehicle. Simulation result shows that the planning path is closer to the real sailing track.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122899411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose generalized Laguerre spectral method for two order ordinary differential equation base on modified generalized Laguerre approximation, which are very efficient for long time numerical simulations of dynamical systems. The global convergence of proposed algorithms are proved. Numerical results demonstrate the spectral accuracy of these new approaches and coincide well with theoretical analysis.
{"title":"Generalized Laguerre Spectral Method for Ordinary Differential Equation","authors":"Xiao-yong Zhang, Yan Li","doi":"10.1109/CSO.2011.139","DOIUrl":"https://doi.org/10.1109/CSO.2011.139","url":null,"abstract":"In this paper, we propose generalized Laguerre spectral method for two order ordinary differential equation base on modified generalized Laguerre approximation, which are very efficient for long time numerical simulations of dynamical systems. The global convergence of proposed algorithms are proved. Numerical results demonstrate the spectral accuracy of these new approaches and coincide well with theoretical analysis.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122943369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we present a multiscale hybrid finite-element solver for flow in porous media with real field geomodel complexity. Multiscale methods solve the flow pressure equation on coarse mesh, and utilize the effects of fine-scale heterogeneities through basis functions formulation computed from local flow problems. Multiscale methods offer large computational savings and provide more accurate approximation than traditional up scaling methods. Published numerical simulation experiments of flow in porous media have so far been limited to ideal geomodel. In particular, we discuss how to handle the effects of faults and wells. Finally, we present the numerical results of multiscale flow solvers for a real field geomodel.
{"title":"A Multiscale Hybrid Finite-Element Solver for Flow in Porous Media","authors":"T. Liu, He-Hua Xu, W. Zhang","doi":"10.1109/CSO.2011.45","DOIUrl":"https://doi.org/10.1109/CSO.2011.45","url":null,"abstract":"In this paper, we present a multiscale hybrid finite-element solver for flow in porous media with real field geomodel complexity. Multiscale methods solve the flow pressure equation on coarse mesh, and utilize the effects of fine-scale heterogeneities through basis functions formulation computed from local flow problems. Multiscale methods offer large computational savings and provide more accurate approximation than traditional up scaling methods. Published numerical simulation experiments of flow in porous media have so far been limited to ideal geomodel. In particular, we discuss how to handle the effects of faults and wells. Finally, we present the numerical results of multiscale flow solvers for a real field geomodel.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123055115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to study the causes of Chinese housing investment fluctuation in, recent years, this paper explores the housing investment model based on the theory of neoclassic economics, which shows that housing investment is related to the expectations on housing price, investment, production level and cost elements. Furthermore, this paper analyzes the factors that affect housing investment fluctuation in China, using three different estimation methods (i.e. least square method (OLS), two-stage least square method (2SLS) and generalized method of moments (GMM)). The results are as follows: (1) The elasticity of housing price is greater than that of costs which demonstrate housing investment is overheated in China partially because of large profitable space in real estate market. (2) The impact of land space developed on housing investment is positive this year which illustrates that income effect is greater than cost effect. (3) Real interest rate has a great impact on it, therefore, it is proved that it is effective for the government to control real estate market by means of monetary policy on the increase of interest rate. Furthermore, we draw a conclusion that a series of policies will effectively control the growth rate of housing investment and restrain real estate overheated investment.
{"title":"Empirical Analysis on the Factors of Housing Investment Fluctuation in China","authors":"Yunfang Liang, B. Jia","doi":"10.1109/CSO.2011.126","DOIUrl":"https://doi.org/10.1109/CSO.2011.126","url":null,"abstract":"In order to study the causes of Chinese housing investment fluctuation in, recent years, this paper explores the housing investment model based on the theory of neoclassic economics, which shows that housing investment is related to the expectations on housing price, investment, production level and cost elements. Furthermore, this paper analyzes the factors that affect housing investment fluctuation in China, using three different estimation methods (i.e. least square method (OLS), two-stage least square method (2SLS) and generalized method of moments (GMM)). The results are as follows: (1) The elasticity of housing price is greater than that of costs which demonstrate housing investment is overheated in China partially because of large profitable space in real estate market. (2) The impact of land space developed on housing investment is positive this year which illustrates that income effect is greater than cost effect. (3) Real interest rate has a great impact on it, therefore, it is proved that it is effective for the government to control real estate market by means of monetary policy on the increase of interest rate. Furthermore, we draw a conclusion that a series of policies will effectively control the growth rate of housing investment and restrain real estate overheated investment.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131191365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Military Automatic Target-scoring System can avoid the defects in efficiency, reliablity, safety, which exist in traditional counting system made by manpower, it can implement fast and precise counting. We take Chest silhouette as studying object, detail each selected method of image processing and image recognition in the Auto-counting System. In addition, the results of all algorithms that MATLAB imitated come to the army's need. The work flow of this Auto-counting system can be composed of these phases: Target image Rectification, Bullet-spot's extraction, Bullet-spot's Recognition and Scoring.
{"title":"The Technology of Image Processing Used in Automatic Target-Scoring System","authors":"Cuiliu Ye, Hongying Mi","doi":"10.1109/CSO.2011.287","DOIUrl":"https://doi.org/10.1109/CSO.2011.287","url":null,"abstract":"Military Automatic Target-scoring System can avoid the defects in efficiency, reliablity, safety, which exist in traditional counting system made by manpower, it can implement fast and precise counting. We take Chest silhouette as studying object, detail each selected method of image processing and image recognition in the Auto-counting System. In addition, the results of all algorithms that MATLAB imitated come to the army's need. The work flow of this Auto-counting system can be composed of these phases: Target image Rectification, Bullet-spot's extraction, Bullet-spot's Recognition and Scoring.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116496039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the stability issue of the T-S fuzzy time-delay control system is investigated, in which the T-S fuzzy time-delay model and the fuzzy controller do not share the same membership functions. New stability conditions in the form of LMIs are proposed by using the Lyapunov function approach. And a numerical example is presented to illustrate the less conservativeness of the new stability conditions.
{"title":"New LMIs-Based Stability Conditions for Fuzzy Time-Delay Control Systems","authors":"Zejian Zhang, Xianlin Huang, Xiaojun Ban","doi":"10.1109/CSO.2011.179","DOIUrl":"https://doi.org/10.1109/CSO.2011.179","url":null,"abstract":"In this paper, the stability issue of the T-S fuzzy time-delay control system is investigated, in which the T-S fuzzy time-delay model and the fuzzy controller do not share the same membership functions. New stability conditions in the form of LMIs are proposed by using the Lyapunov function approach. And a numerical example is presented to illustrate the less conservativeness of the new stability conditions.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127741976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：