Many researches have argued that Artificial Neural Networks (ANNs) can improve the
performance of intrusion detection systems (IDS) when compared with traditional methods …

Clustering is a fundamental data analysis method. It is widely used for pattern recognition,
feature extraction, vector quantization (VQ), image segmentation, function approximation …

This paper introduces a class of evolving fuzzy rule-based system as an approach for
multivariable Gaussian adaptive fuzzy modeling. The system is an evolving Takagi-Sugeno …

It is a well‐known fact that nowadays we are faced not only with large data sets that we need
to process quickly, but with huge data streams. Special requirements are also placed by the …

Fuzzy and neural-fuzzy systems have successfully and extensively applied to solve
problems in many research areas such as those associated with industrial, medical and …

This chapter introduces an approach to developing evolving fuzzy rule‐based models using
participatory learning. Participatory learning assumes that learning and beliefs about a …

Early design space exploration (DSE) is a key ingredient in system-level design of MPSoC-
based embedded systems. The state of the art in this field typically still explores systems …

A quantitative structure property relationship (QSPR) study was performed to develop a
model for prediction of flash point of esters based on a diverse set of 95 components. The …

针对经典谱聚类算法无法自动确定数据类个数的问题, 本文提出了一种基于本征间隙与正交特征
向量的自动谱聚类算法. 该方法利用样本数据构建亲和度矩阵, 然后进行谱分解得到相应的特征 …

With an increasing global competition, at the beginning of the 21st century, companies have
witnessed significant changes in the market, such as high degree of market volatility …