Computer Engineering and Applications 

About: Computer Engineering and Applications is an academic journal published by Sriwijaya University. The journal publishes majorly in the area(s): Cluster analysis & Particle swarm optimization. It has an ISSN identifier of 2252-4274. It is also open access. Over the lifetime, 6558 publications have been published receiving 16110 citations. The journal is also known as: ComEngApp.

Stochastic stability analysis of fuzzy Hopfield neural networks with time-varying delays

Abstract: The ordinary Takagi Sugeno(T-S) fuzzy models have provided an approach to represent complex nonlinear systems to a set of linear sub-models by using fuzzy sets and fuzzy reasoning.In this paper,stochastic fuzzy Hopfield neural networks with time-varying delays(SFVDHNNs) are studied.The model of SFVDHNN is first established,then,the global exponential stability in the mean square for SFVDHNN is studied by using the Lyapunov-Krasovskii approach.Stability criterion is derived in terms of Linear Matrix Inequalities(LMIs),which can be effectively solved by some standard numerical packages.

Fisher linear discriminant analysis algorithm based on vector muster

Abstract: Fisher linear discriminant analysis algorithm based on vector muster is presented in this paperThe original high-dimensional vectors are divided into a set of sub-vectors with low-dimensionalFisher linear discriminant analysis is adopted based on vector musterThis algorithm can deal with all high-dimensional and small sample size problemsOtherwise,selecting appropriate dimension of sub-vector can extract the optimization feature value of vectorFisher linear discriminant analysis algorithm based on vector muster is the extension of Fisher linear discriminant analysis and two-dimensional fisher linear discriminant analysis

New discernibility matrix and computation of core

Abstract: The problem of calculating the core attributes of a dicision table is studied,a new discernibility matrix and the computation of core is put forward in this paper,and correctness of this method is proved.This method is the same with consistent and antipathic dicision tables.

Survey of personalized recommendation system

Abstract: Information overload is one of the most critical problems, and personalized recommendation system is a powerful tool to solve this problem In this article, the definition of recommendation system is introduced, this article also expounds some key technologies including user modeling, recommendation item modeling and recommendation algorithm The recommendation frame and evaluation methods are also exhibited This article tries to give the difficulties and future directions of recommendation system

Study on mutual information-based feature selection in text categorization

Abstract: To solve the problem of the poor effect of mutual information-based feature selection on the unbalanced corpuswhich arise from not well combining positive feature and negative feature.The ratio of positive feature and negative featureis adjusted with balance factor to strengthen the effect of negative feature.And category strong related feature is distinctedwith feature distributed factor.The experimental results verify the efficiency and probability of the improved mutual informa-tion-based feature selection.