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This report describes a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of hybrid intelligent controllers by supplying a self-organizing capability. It is demonstrated that fuzzy controllers prepared to maintain control object in the prescribed conditions are often fail to control when such a conditions are dramatically...
Emotion recognition is an important module in affective computing. It is usually studied based on facial and audio information with methodologies such as ANN, fuzzy set, SVM, HMM, etc. In this paper, a novel approach based on selective ensemble is proposed for emotion recognition. Simulation experiments prove that the proposed method has better performance than the method of single classifier, even...
Situation awareness (SA) has been received much attention from human factors and ergonomics community during the past two decades. Team working plays a vital role in complex dynamic situations, increasing requirements for sharing perceptions and comprehension of a situation among team members and improving team situation awareness have been merged. This paper presents a team SA measurement (TSAM)...
In this paper, the concept of the frequently covered points (FCP) and the infrequently covered points (ICP) is presented. By means of the cutpoints sieve method, we can rapidly pick out the corresponding cutpoints of ICP, namely preferred cutpoints, from all pending cutpoints of interval attributes. And then, only preferred cutpoints are used for computing information entropy of partition (IEP). Finally,...
To incorporate existing and new information tools, in particular optimization methods and software, an integrated resource management system was proposed for ferry companies. The system adopts a hierarchical system architecture which incorporates all the modules in the three layers: the supporting layer, the application layer, and the management and control layer. The blank ticket rolls were considered...
Collaborative design is a new method to meet the requirement of increasing competition in market, which can deal with different resource and various interests to attain a good result. Distributed knowledge in collaborative design is an important problem to complete design. A knowledge management system (KAM) is developed to share knowledge of various sections to meet the need of knowledge interaction...
This paper deals with a variable structure sliding mode control of ROV (remotely operated vehicle), with which the adaptive learning of the RBF neural network is used to estimate and approach the upper bound of the uncertainty and disturbance induced by hydrodynamics so as to avoid the difficulties of establishment and resolving of precision dynamic model. According the description and setting up...
The use of multiple intelligent agents in the decision support systems has become common. However, there are many questions in this field, such as the consensus of the agents and the method on choosing the best decision. In order to solve these problems, this paper provides a method, which uses the fuzzy aggregation operator to aggregate the opinions of the agents, ranks the alterative with the fuzzy...
To enhance the local search capability of quantum-inspired evolutionary algorithm, a novel memetic algorithm based on real-observation quantum-inspired evolutionary algorithms (MArQ) was proposed. MArQ is a hybrid algorithm combining QIEA with local search techniques. In MArQ, QIEA was used to explore the whole solution space and tabu search was employed to exploit the neighboring domains of the searched...
Parameters setting is an important problem of evolution algorithms, include differential evolution algorithm. It has an effect on the performance of evolution algorithms. Although there is only three control parameters in differential evolution (DE) algorithm, the parameters setting is also a difficult problem. Self-adaptation is highly beneficial for adjusting the control parameters, especially when...
Considering the nonlinearity and strong coupling of Stewart platform, a co-evolutionary control method is proposed for it, based on this method, ?? distribution function is introduced to regulate the probabilities of individuals production to promote the speed of evolutionary according to the characteristic of control system. Compared with the traditional genetic algorithm, the searching space has...
This paper is aimed to present a genetic algorithm focusing on the sexual selection used the Pareto based approach for solving multi-objective optimization problems. It uses a concept of sexual selection with different types of gender and mutation rates based on the sex to produce offspring. Its performance was evaluated by the well-known benchmark functions as well as also tested with a networking...
Aggregation plays a central role in human thought. There is a need to develop better data aggregation mechanisms in various real-life applications involving intelligent systems. Application of fuzzy measures and fuzzy integrals is a significant development in this pursuit. However, there are certain issues associated with practical implementation of fuzzy measures. This work proposes an approach to...
The goal of adding content-based 3d model retrieval to semantic web is to develop a rich set of 3d model semantic representation to enable both humans and machines to generate and understand model descriptions and processing which can be used to enable fast efficient retrieval from model collections. The purpose of Ontology for Content-based 3d Model retrieval is intended to describe model information...
A stable component model is the precondition of a successful implementation of component-based system. High-quality components identification technology is considered as the basis of modeling business components. This paper proposes a new method of business component identification by using graph segmentation; the identification method focuses on three aspects: business modeling, semantic abstraction...
Text categorization has become one of the key techniques for handling and organizing text data. In practical text classification tasks, the ability to interpret the classification result is as important as the ability to classify exactly. Associative classifiers have many favorable characteristics such as rapid training, good classification accuracy, and excellent interpretation. In this paper, Closed-AC,...
Blog is one of the important components in Web 2.0. Many blog retrieval systems still use the classical retrieval method in Web page retrieval. In this paper, we present a new retrieval approach which is based on the relation between the blogger and query. The advantage of this approach is collecting the semantic information which we called blogger role in retrieval model. The experiments show that...
In this paper, a hybrid algorithm is proposed for designing feedforward neural networks. A genetic algorithm is proposed to tune the connections and parameters between the input layer and the hidden layer, and orthogonal transformation is applied to tune the connections and parameters between the hidden layer and the output layer. The crossover operator and mutation operator are based on the singular...
Group selection is often cited as an explanation for the survival of altruistic behaviors. The evolutionary dynamic model of altruistic behaviors is established and analyzed. The sufficient and necessary condition for the survival of altruistic behaviors is obtained and proved. Although in a single interaction the altruist is at a disadvantageous position compared with the egoist, altruistic behaviors...
Axiomatic design gives a design map to designers in order to establish a scientific basic for design and to improve design activities. In the Axiomatic Approach, the relationship between functional requirements and design parameters has been defined by 0 or 1. This definition, sometimes, restrict designers under the situation that there are incomplete information or uncertainty. In this study, the...
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