The shortcomings of some existing Particle Swarm Optimization (PSO) algorithms are analyzed and an improved discrete PSO algorithm with wheels topology which updates the particles’ positions by using swap operator, swap sequence and partially matched ...

The accurate location of the border of skin lesions is an important first step in the automatic diagnosis of malignant melanoma. In this paper, we propose a new method of segmentation to locate the skin lesion. The method consists of two stages; image ...

By incorporating chaotic algorithm with the RBF neural network, a chaotic analysis approach was applied to a time series composed of seismic events occurred in Guangxi nearly three decades based on the theory of phase-space reconstruction. The dynamics ...

In this paper, a novel method based on hybrid genetic algorithm (GA) was developed to extract parameters of analytical or part-analytical models. It needn’t complex computation compared with conventional methods or other compound genetic algorithm. With ...

The problem of intelligent computer control of the extended uncertain singular dynamic Leontief input-output model is researched. A new mathematic method is applied to study the singular Leontief Input-output systems without converting them into general ...

Decision trees are considered as one of the efficient classification techniques in data mining fields. But the standard decision trees are unfit to cope with data pervaded with uncertainty both at the construction and classification phase. Dempster-...

As a result of environment of the robot soccer competition which has such characteristics as complexity, nonlinear, polygonal, uncertainty and so on, and all of the intelligent agent has a common goal - to achieve final shot through the cooperation and ...

RBF (Radial Basis Function) neural network is used to predict the magnitude of earthquake in this article. The self-adaptive and nonlinear approach abilities of RBF neural network are suitable to process the complexity of the production mechanism of ...

For the problem of local minimum for gradient descent method used to train an RBF (Radial Basis Function) neural network, EP (evolutionary programming) is introduced to the training of RBF neural network in this paper. The combination method of EP and ...

This paper presents an algorithm for fingerprint identification based on wavelet transform and Gabor features. Firstly, a center point area of the fingerprint is detected, then the image in this area is decomposed into different sub-images using wavelet ...

Through analyzing the advantages and disadvantages between anomaly detection and misuse detection, a mixed intrusion detection system (IDS) model is designed. First, data is examined by the misuse detection module, then abnormal data detection is ...

A novel parallel predictor-corrector interior-point algorithm (P-PCIPA) is proposed. The algorithm uses technique of predictor-corrector to improve the centrality of the iterate point to reduce the number of iterations. Corrector equation, which has ...

Genetic Algorithms are adaptive methods which may be used to solve search and optimization problems. Three basic operations in Genetic Algorithms are selection, crossover and mutation, an important problem using Genetic Algorithms is the premature ...

As the liquid position control system has the characteristic of a large time delay, instability and non-linear, a neural network self-adaptive PID controller based on self-adaptive PID and neural network is introduced in this paper, it can optimize and ...

The rapid development of modern VLSI technology allows incorporating a complete system on a single chip using the system-on-chip (SOC) methodology. Test scheduling solution for SOC embedded IP cores is a very complex problem. It is necessary to test ...

The particle swarm optimization (PSO), which goes right after Ant Colony Algorithm, is another new swarm intelligence algorithm. PSO has the same drawbacks as other optimization algorithms in spite of its predominance in some fields. That is easily ...

Background extraction is a fast and efficient moving object segmentation algorithm. This paper presents a new background extraction algorithm based on improved mode algorithm by using frame differential method to obtain the regions of static background. ...

The particle swarm optimization (PSO) is an adaptive optimization based on swarm intelligence. The basic principle and the method of it being used in seismic location were introduced. To get a more accurate result, the objective function is the residual ...

The temperature control system has the characteristic of non-linearity, large inertia and time variability. It is difficulty to overcome the effects of these factors and get the satisfactory results with using the normal PID controller. Therefore, a ...

Aiming at the conflict between robustness and invisibility of video watermarking system, a new adaptive video watermarking based on decomposing of bit plane was proposed in this paper. The bit planes of watermark were embedded in different quantity of ...