Titlebook: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence; 5th International Co De-Shuang Huang,K

forebear

GLUT

Variable Precision Concepts and Its Applications for Query Expansions. Query expansion is an efficient method for dealing with this task. In this paper, variable precision concept(VPC) based on formal concept analysis(FCA) is firstly proposed and its properties are discussed. Then a new strategy of expanding query terms based on VPC is proposed. According to this ne

Nomadic

The Application of Intuitionistic Fuzzy Theory in Radar Target Identificationer ship degrees, seven calculating methods of similarity degree for intuitionistic fuzzy, i.e., max-min, maximal-minimum, arithmetic mean minimum, geometric mean minimum, Hamming distance, Euclidean distance and correlative coefficient, are proposed and applied to radar target identification, this f

Incorruptible

Pericarditis

Spiking Neural Network Performs Discrete Cosine Transform for Visual Imagescan be extracted in ON/OFF neuron arrays. These key features can be used to reconstruct the visual images. The network can be used to explain how the spiking neuron-based system can perform key feature extraction. The differences between the discrete cosine transform and the spiking neural network transform are discussed.

Frenetic

Spam Detection Based on a Hierarchical Self-Organizing Mapew hierarchical self-organizing model that has just one parameter is proposed. The performance of this model has been evaluated by building a spam detector. Experimental results confirm the goodness of this approach.

吵鬧

Variable Precision Concepts and Its Applications for Query Expansionw strategy, users can set the query precision in terms of their interests and obtain the additional relevance web pages. Finally, application results show the efficiency and effectiveness of this method.

conquer

盡責(zé)

好色

Zusammenfassung, Ergebnis und Ausblick,te noise. Based on the chaotic neuron model, we construct the chaotic neural network model with white noise, and study its energy function The simulation result illustrates the influence of white noises on the model. The simulation results show that the system still has good optimization ability under the white noises with suitable parameter.