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In this paper, distances of the special multi-dimensional fuzzy ellipsoid number spaces are studied. The characteristic calculation formulas of distances for the special fuzzy ellipsoid number spaces are obtained. Formulas for Propositions 1 and 2 can be easily realized by computer program in applications and the completeness of the special fuzzy ellipsoid number spaces about the distance are proved...
Prediction of protein structural classes has been proven to be significant in the field of bioinformatics. A good computational prediction technique may improve the prediction accuracy. In this paper, a new predictor from proteins' primary sequences is proposed to determine protein structural classes. Firstly, a feature vector which serially fuses pseudo amino acid composition and pseudo position-specific...
The time cost is an important issue in cost-sensitive learning. In this paper, we study the parameter learning using the ant colony optimization for minimal time cost attribute reduction. The attribute set is represented by a scatter diagram with each vertex corresponding to an attribute. Firstly, each an-t travels using the weight and total time cost of attributes. Secondly, the ant deletes redundant...
Covering rough sets, which generalize classical rough sets only in discrete data sets, deal with set-valued data sets for the decision system. In this paper, we develop the concept of confidence and θ-reduction with covering rough sets which can be used to study inconsistent decision system. However, inconsistent decision systems' reduction aims to consider all possible rules into possibility and...
Recently, Graph K-means (GKM) algorithm can attain better performances than other state-of-the-art approaches in nonlinear manifold clustering. However, when the data set has many clusters and the number of samples in each cluster is small, GKM might not perform well. In these cases, the final partition does not have enough clusters as the initial number of clusters, called the lost cluster problem...
This paper attempts to propose a new mutation strategy, termed the mean-best mutation strategy, for differential evolution (DE) algorithm to enhance global search ability and to avoid premature convergence. In the proposed mutation strategy (denoted by DE/mBest/1), the base vector is the mean of the p top-ranked individuals, and denoted by mBest. That is, the randomly selected base vector of DE/rand/1...
The existence of the airport runway foreign object debris (FOD) threats airport security, in order to reduce the influence of economic and person's security is caused by the FOD, and FOD debris monitoring is very important. A new FOD de-noising method is proposed based on multi-directional multi-scale weighted morphology in this paper. Experimental results prove that the proposed method can eliminate...
Beer fermentation process has the characteristics of nonlinear, time varvine and pure lae. Since tradition PID control and fuzzv PID control are difficult to satisfy the control reauirements, an improved variable universe fuzzv PID control method is proposed. The variable universe fuzzv controller is improved bv adapting scale partition method. PID control, fuzzv PID control and imnroved variable...
It is of great significance to understand the organization and function of the biological system by identifying function modules in protein-protein interaction (PPI) networks. One of important features of PPI networks is large-scale. In this paper, we propose the modules detection method for PPI networks based on modularity optimization. The biological explanations of the función modules are analyzed...
Contraposing the complexity of a ramp control problem, we propose a method of proportional plus integral (PI) control and genetic algorithm optimization for ramp metering in this paper. Firstly, we build a cell transmission model (CTM) for freeway traffic. After that, we design several ramp controllers based upon CTM and feedback control method, and give the optimization process of a genetic algorithm...
As an important reflection of human cognitive ability, the multi-granulation analysis gets more reasonable solution of a problem in comparison to the single granulation. Clustering analysis is an active area of machine learning and a fundamental technique of information granulation. By using different clustering algorithms and different parameters of an algorithm, a data set can be granulated into...
GaoFen-1 whose longevity is designed and checked more than 5 years, is the first high-resolution and remote sensing satellite in China. It can achieve a combination of high resolution and wide imaging capabilities on the same satellite, and it will play a significant role in the development of national economy and variety kinds of industries. This paper will introduce the design and implementation...
Predicting stealthy behaviors plays an important role in game design. It is, however, difficult to automate this task because interaction between human and dynamic environments is not easy to compute and simulate. In this note, we present a reinforcement learning method for simulating stealthy movements in dynamic environments. We use an integrated method of Q-Learning and Artificial Neural Networks...
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