Although GM(1, 1) model has been successfully adopted in various fields and demonstrated promising results, its predicting performance still could be improved. Up to the present, the literatures show that whether the ...
详细信息
ISBN:
(纸本)9783642148798
Although GM(1, 1) model has been successfully adopted in various fields and demonstrated promising results, its predicting performance still could be improved. Up to the present, the literatures show that whether the structure method of background value or the selection of initial condition is logical or not, it affects the simulation and prediction precision directly. However, most optimized models developed recently are optimized with one side. Based on the idea that we have above reasoned, an improved GM(1, 1) model of integrated optimizing its background value and initial condition is proposed in this paper, which applies a more logical calculating formula of background value based on Newton interpolation and a relatively ingenious algorithm of initial condition by adding an arbitrary constant. Furthermore, the LCD TV annual output of China is used as a case study to examine the model reliability and accuracy. By comparisons of simulation and prediction data, a higher precision is found.
In this paper, a novel fuzzy granulation based forecasting method is presented for time series. This method includes two steps: granular modeling and forecasting. In granular modeling step, the given time series is fi...
详细信息
ISBN:
(纸本)9783642148798
In this paper, a novel fuzzy granulation based forecasting method is presented for time series. This method includes two steps: granular modeling and forecasting. In granular modeling step, the given time series is first partitioned in terms of data condense degree into segments (windows) with different widths, then after optimally constructing fuzzy granule on each window, a fuzzy granular time series best fitting the original time series is obtained. In the forecasting step, we first fix the linguistic depiction of each granule and build the forecasting rules by mining the fuzzy relationship between the adjacent granules in the granular time series obtained in the first step. After that, we finish the forecasting by means of the forecasting rules. This fuzzy granulation based method can give not only linguistic prediction but also crisp prediction. The main difference of this method from the existing methods is that it realizes the granulation by optimization where the granules correspond to different widths. Thus the model presented here can be regarded as a universal one. Experiment carried on the enrollment data of Alabama University illustrates the good performance of the new method.
Fuzzy evaluation model is the comprehensive evaluation method and quantitative analysis and which based on the "maximum membership degree evaluation". Due to the cleaner production of multiple attribute and ...
详细信息
ISBN:
(纸本)9783642148798
Fuzzy evaluation model is the comprehensive evaluation method and quantitative analysis and which based on the "maximum membership degree evaluation". Due to the cleaner production of multiple attribute and evaluation factors, and with more than stratified random and fuzzy mathematics, this article puts forward a fuzzy evaluation to determine the key audit is practical and necessary. This paper describes the evaluation method of cleaner production simply, focusing on the principle,content and evaluation mode of fuzzy mathematics method for the evaluation of clean production agitation. The fuzzy mathematics evaluation method for clean production can be used to assess all aspects of clean production before and after the business at present, and identify cleaner production opportunities, identify weaknesses and so on. All the factors which affecting the quality of cleaner production can be evaluated comprehensively and accurately. It also can be able to change the multi-factor problems (which are complicated, not enough to determine) into a data model based on simple evaluation. This assessment model has been used in food industry of clean production, and achieved good results.
Objective to explore predictive method of nonlinear time series based on using BP neural network. Methods Based on dynamic learning rate BP artificial neural network with Hyperbolic Tangent function as activation func...
详细信息
ISBN:
(纸本)9783642148798
Objective to explore predictive method of nonlinear time series based on using BP neural network. Methods Based on dynamic learning rate BP artificial neural network with Hyperbolic Tangent function as activation function has been used. Results Build two kinds of ANN forecast models of pneumonia incidence rate. They are better than traditional method on prediction precision. Conclusion BP artificial neural network can be used to forecast for disease incidence rate.
The reticulated shell structure has high degree of geometric nonlinearity, and time-variety of stiffness and damping under seismic response. Fuzzy control has better control effect for the system of time-varying param...
详细信息
ISBN:
(纸本)9783642148798
The reticulated shell structure has high degree of geometric nonlinearity, and time-variety of stiffness and damping under seismic response. Fuzzy control has better control effect for the system of time-varying parameters, nonlinearity and strong coupling. Recognizing this, fuzzy control method is proposed to apply to MR damper, and the vibration control analysis of shell structure is carried out based on the method. According to the basic principle of fuzzy control, for the general Bouc-Wen model as the mechanical model of MR. damper, the fuzzy controller for MR damping structure is designed by the fuzzy control toolbox and the Simulink block in MATLAB, and the fuzzy control analysis of the span 60 meters of double-layer spherical shell structure is carried out under seismic response. The results show that: for the vertex and the node of rod piece on which MR damper installed of the shell structure under fuzzy control, the peak value of displacement, velocity and acceleration are averagely decreased by 56.8% in comparison with no control structure, the control effect is remarkable, so the MR fuzzy controller is demonstrated to be effective and reliable.
In this paper, we provide a method of constructing joint probability density function and fuzzy system by using fuzzy inference based on a set data of input-output. Firstly, we build fuzzy relation and derive the join...
详细信息
ISBN:
(纸本)9783642148798
In this paper, we provide a method of constructing joint probability density function and fuzzy system by using fuzzy inference based on a set data of input-output. Firstly, we build fuzzy relation and derive the joint probability density function. Secondly, we discuss the marginal density function and numerical characteristic of the joint probability distribution, including mathematical expectation, variance and covariance. Finally, using probability distribution in this paper, we work out the corresponding the center of gravity fuzzy system and show the fuzzy system is an universal approximator.
The sliding-mode control method based on reaching law is proposed for swarm systems to eliminate chattering, which makes the agents of swarm get to an expectant trajectory and track it. This paper gives the definite c...
详细信息
ISBN:
(纸本)9783642148798
The sliding-mode control method based on reaching law is proposed for swarm systems to eliminate chattering, which makes the agents of swarm get to an expectant trajectory and track it. This paper gives the definite control law by using the upper and lower bounds instead of uncertainties. Simulation further shows well the effectiveness.
PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an in...
ISBN:
(数字)9783642004872
ISBN:
(纸本)9783642004865
PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2009 edition. These articles capture the most innovative results and this year s trends: Assisted Cognition, E-Commerce, Grid computing, Human Modelling, Information Systems, Knowledge Management, Agent-Based Simulation, software Development, Transports, Trust and Security. Each paper has been reviewed by three different reviewers, from an international committee composed of 64 members from 20 different countries. From the 92 submissions received, 35 were selected for full presentation at the conference, and 26 were accepted as posters.
In this paper we present techniques for machine learning of program behavior by observing application level events to support runtime anomaly detection. We exploit two key relationships among event sequences: their ed...
详细信息
ISBN:
(纸本)9783642040900
In this paper we present techniques for machine learning of program behavior by observing application level events to support runtime anomaly detection. We exploit two key relationships among event sequences: their edit distance proximity and state information embedded in event data. We integrate two techniques that employ these relationships to reduce both false positives and false negatives. Our techniques consider event sequences in their entirety, and thus better leverage correlations among events over longer time periods than most other techniques that use small, fixed length sliding windows over such sequences. We employ cluster signatures that minimize adverse effects of noise in anomaly detection, thereby further reducing false positives. We leverage state information in event data to summarize loop structures in sequences which, in turn, leads to better classification of program behavior. We have performed initial validations of these techniques using Asterisk (R), a widely deployed, open source digital PBX.
In this article, the results achieved by applying GA-inspired heuristic on Uncapacitated Single Allocation Hub Location Problem (USAHLP) are discussed. Encoding scheme with two parts is implemented, with appropriate o...
详细信息
ISBN:
(纸本)9783540896180
In this article, the results achieved by applying GA-inspired heuristic on Uncapacitated Single Allocation Hub Location Problem (USAHLP) are discussed. Encoding scheme with two parts is implemented, with appropriate objective functions and modified genetic operators. The article presents several computational tests which have been conducted with OR,LIB instances. Procedures described in related work round distance matrix elements to few digits, so rounding error is significant. Due to this fact, we developed exact total enumeration method for solving subproblem with fixed hubs, named Hub Median Single Allocation Problem (HMSAP). Computational tests demonstrate that GA-inspired heuristic reach all best solutions for USAHLP that are previously obtained and verified branch-and-bound method for HMSAP. Proposed heuristic successfully solved some instances that were unsolved before.
暂无评论