The Artificial Neural Networks (ANNs) are based on the behavior of the brain. So, they can be considered as intelligent systems. In this way, the ANNs are constructed according to a brain, including its main part: the neurons. Moreover, they are connected in order to interact each other to acquire the followed intelligence. And finally, as any brain, it needs having memory, which is achieved in...

filtering of web pages with inappropriate contents is one of the major issues in the field of intelligent network's security. having a good intelligent filtering method with high accuracy and speed is needed for any country in order to control users' access to the web. so, it has been considered by many researchers. presenting web pages in an understandable way by machines is one of the most im...

An accurate reservoir characterization is a crucial task for the development of quantitative geological models and reservoir simulation. In the present research work, a novel view is presented on the reservoir characterization using the advantages of thin section image analysis and intelligent classification algorithms. The proposed methodology comprises three main steps. First, four classes of...

HIGHLIGHTS Intelligent diagnostic system for power transformers. Defining the operational behavior of large Ten intelligent classifiers were tested to establish condition

With the expansion of use frequency response analysis (FRA) as a reliable tool for fault detection in transformers, more capabilities this method are discovered every day. So that today number transformer faults can be identified by FRA has also increased. One most critical steps with is to distinguish and classify them different classes. In paper, well-known intelligent classifiers (probabilis...

Ensembles of classifiers offer promise in increasing overall classification accuracy. The availability of extremely large datasets has opened avenues for application of distributed and/or parallel learning to efficiently learn models of them. In this paper, distributed learning is done by training classifiers on disjoint subsets of the data. We examine a random partitioning method to create dis...

In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper presents an integration of a Combined Multiple Models (CMM) technique with an evolutionary approach that is used for tuning of parameters. Proposed hybrid classifier was tested in microarray analysis domain. This domain was chosen i...