Image processing has very important application in the national economy and the people's livelihood, but there exists many problems in the process for original image identification processing, such as edge unclear...
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ISBN:
(纸本)9783642148798
Image processing has very important application in the national economy and the people's livelihood, but there exists many problems in the process for original image identification processing, such as edge unclear. In order to remove edge discontinuousness, forge edge and over-segmentation, the paper proposed an algorithm of fuzzy morphology based feature identification in image processing. The method is based on structure element of fuzzy mathematical morphology to identify feature, analyzed elements correlation, decided subjection function after pre-process images, ascertained best segmentation threshold adopting technology of auto-recognition best threshold. Then the algorithm took best threshold and path cost function as constraint condition to reduce search scope, enhance algorithm execute speed. Finally it extracted edge and identified image geometry features by dint of watershed algorithm. The paper took packaged granary grain quantity intelligent reckoning for example to make digital emulation, and the results showed that it not only can make image edge continuous, but also can remove the phenomena of forge edge and over-segmentation, and the image changes smoother and more flexible by using the algorithm to process images.
Various clustering methods based on the behavior of real ants have been proposed. In this paper, we develop a new algorithm in which the behavior of the artificial ants is governed by fuzzy IF-THEN rules. Our algorith...
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ISBN:
(纸本)9783642148798
Various clustering methods based on the behavior of real ants have been proposed. In this paper, we develop a new algorithm in which the behavior of the artificial ants is governed by fuzzy IF-THEN rules. Our algorithm is conceptually simple, robust and easy to use due to observed dataset independence of the parameter values involved. In the experiment, spatial data source is come from the actual survey data in mine. LF algorithm and the fuzzy ant based spatial clustering algorithm separately to cluster these data. Through analysis and comparison the experimental results to prove that the fuzzy ant based spatial clustering algorithm enhances the clustering effect.
Aimed at the control puzzle of complicated characteristic for complex industrial object, the paper presented an intelligent fusion strategy based on human-simulated control. In the paper, it first made an anatomy and ...
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ISBN:
(纸本)9783642148798
Aimed at the control puzzle of complicated characteristic for complex industrial object, the paper presented an intelligent fusion strategy based on human-simulated control. In the paper, it first made an anatomy and pointed out that the traditional strategy is unsuitable for controlling the complex system, and decomposed the complex system into the operation control unit by means of decomposition-coordination principle for large-scale complex control systems, and then constructed the control algorithm based on human-simulated intelligence, finally the experiment of simulation comparison was made for designed algorithm. The results show that it is good in control quality, strong in robustness, high in control accuracy, and specially suitable for uncertainty system control.
In this paper, a hybrid algorithm is proposed which combines the conjugate gradient theory with BP network algorithm. The algorithm regards the overall average error of neural network as the objective function, and th...
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ISBN:
(纸本)9783642148798
In this paper, a hybrid algorithm is proposed which combines the conjugate gradient theory with BP network algorithm. The algorithm regards the overall average error of neural network as the objective function, and the seeking weights and thresholds of the neural network as the design variables. The calculation process replaces the adjustment of original weights and thresholds of BP network with the conjugate gradient theory. It makes each iteration obtain the optimal step in the search direction, thus it improves the disadvantages of slow convergence of the original BP network. Numerical simulation is applied to the adjustment of weights and thresholds and the calculation process. By using specific examples, convergence rate and effective application are verified. Finally it fully proves the feasibility and superiority of the hybrid algorithm.
In this paper the problem of portfolio selection with transaction cost based on downside risk measure is discussed. Left-right-type fuzzy number is used to describe the expected return rate of security, and transactio...
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ISBN:
(纸本)9783642148798
In this paper the problem of portfolio selection with transaction cost based on downside risk measure is discussed. Left-right-type fuzzy number is used to describe the expected return rate of security, and transaction cost and diversification condition are incorporated into the process of portfolio selection. We evaluate the expected return and risk by interval-valued mean, regard the downside risk as the portfolio risk, and formulate the portfolio selection problem as a linear programming Finally, a numerical example is presented to illustrate the efficiency of the proposed model.
This paper is a survey of resent work in the field of multi-agents for the benefit of research on the personalized information service. According to the defect of current search engines, this paper presents a model of...
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ISBN:
(纸本)9783642148798
This paper is a survey of resent work in the field of multi-agents for the benefit of research on the personalized information service. According to the defect of current search engines, this paper presents a model of personal information services, which can realize individuation and intelligence of information retrieval according to user interested knowledge via multi-agent collaboration. This paper gives a working principle of the model and discusses abstract technology of the model.
This paper mainly research on the system reliability with fuzzy parameters, and use two methods to solve the expression of the membership function about the fuzzy reliability of the system. When the fuzzy failure rate...
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ISBN:
(纸本)9783642148798
This paper mainly research on the system reliability with fuzzy parameters, and use two methods to solve the expression of the membership function about the fuzzy reliability of the system. When the fuzzy failure rate of the system is the fuzzy numbers that generated by fuzzy structured element, this paper put forward the formula of the fuzzy reliability and its membership function about the serial system, the parallel system, the parallel- serial system and the serial-parallel system.
Considering the ambiguity of the boundary constraints, this essay establishes a fuzzy optimal design model about reticulated domes of Schwedler, and carries on a fuzzy processing for the design variables, the objectiv...
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ISBN:
(纸本)9783642148798
Considering the ambiguity of the boundary constraints, this essay establishes a fuzzy optimal design model about reticulated domes of Schwedler, and carries on a fuzzy processing for the design variables, the objective functions and constraints in the fuzzy optimization mode. In terms of Schwedler Spherical shell structures' characteristic, this essay uses the fuzzy optimization method to determine the boundary constraints tolerance factor. Boundary search method is used for solving optimal level set lambda*. Then the optimal solution of fuzzy optimization problems is obtained, and which is compared with the deterministic optimal design. Therefore, the trend of two kinds of optimization design variables has been obtained. The simulation results show that the objective function values have decreased substantially than the deterministic optimal design values. Consequently, the feasibility and correctness of the optimization design have been proved about considering the fuzzy factor.
In order to reveal the uncertainty in the process of rescuing the accidents over the expressway network, fuzzy programming method is used to establish the rescue resource dispatch model. The model aims to minimize the...
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ISBN:
(纸本)9783642148798
In order to reveal the uncertainty in the process of rescuing the accidents over the expressway network, fuzzy programming method is used to establish the rescue resource dispatch model. The model aims to minimize the fuzzy dispatch decision-making time to reflect the accidents' influence on the upper traffic flow after accidents happen on the fully-closed expressway. Fuzzy chance constraint is designed to reflect the relationship between the uncertain requirements of potential accidents and the existing resource allocation. According to the limitation of the traditional algorithm and the complexity of dispatch problems, especially many accidents happening simultaneously and various rescue resources required, the genetic algorithm based on fuzzy simulation is designed to be fit for the model and the optimized dispatch scheme is obtained. The case study of the expressway network in Henan Province is conducted to illustrate that the fuzzy dispatch method can be used to solve the conflicts between shortening the decision-making time and reducing the rescuing economic costs compared with the existing rescue mode, and the optimum rescue resource dispatch decision is made for the command control center.
Based on the theory of variable fuzzy sets, quantity change theorem and quality change theorem are first given according to opposite fuzzy sets and the definitions of a relative difference function and a relative prop...
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ISBN:
(纸本)9783642148798
Based on the theory of variable fuzzy sets, quantity change theorem and quality change theorem are first given according to opposite fuzzy sets and the definitions of a relative difference function and a relative proportion function. The research could make the variable fuzzy sets more systematic, complete and scientific, furthermore, which is the extending of classical fuzzy sets established by Zadeh (Zadeh 1965).
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