Network Analysis

Patterns identification in large scale networks.


Articles & Tech Transfers


Automating construction of a domain ontology using a projective adaptive resonance theory neural network and Bayesian network
Abstract Research on semantic webs has become increasingly widespread in the computer science community. The core technology of a semantic web is an artefact called an ontology. The major problem in constructing an ontology is the ...

A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture
Abstract A fuzzy neural network, Falcon-MART, is proposed in this paper. This is a modification of the original Falcon-ART architecture. Both Falcon-ART and Falcon-MART are fuzzy neural networks that can be used as fuzzy controllers ...

Integration of ART2 neural network and genetic K-means algorithm for analyzing Web browsing paths in electronic commerce
Abstract Neural networks and genetic algorithms are useful for clustering analysis in data mining. Artificial neural networks (ANNs) and genetic algorithms (GAs) have been applied in many areas with very promising results. Thus, this ...

Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network
Abstract This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART architecture (adaptive resonance theory), named fuzzy ART-ARTMAP neural ...

RT-UNNID: A practical solution to real-time network-based intrusion detection using unsupervised neural networks
Abstract With the growing rate of network attacks, intelligent methods for detecting new attacks have attracted increasing interest. The RT-UNNID system, introduced in this paper, is one such system, capable of intelligent real-time ...

A Self-Organizational Management Network Based on Adaptive Resonance Theory
Abstract This paper presents an organizational network for product configuration management within the context of Virtual Enterprise. Actors, from high level strategy making actors to low level physical devices, can advertise their ...

Use of adaptive resonance theory to differentiate network device types (routers vs switches)
Abstract To determine a network communications device type, (switch or router) without reference to internal information within the network communications device, two packets having preselected, differing sizes (e.g., 64 bytes and ...

Use of adaptive resonance theory (ART) neural networks to compute bottleneck link speed in heterogeneous networking environments
Abstract Bottleneck link speed, or the transmission speed of the slowest link within a path between two nodes, is determining by transmitting a sequence of ICMP ECHO data packets from the source node to the target node at a selected ...

A Novel Approach to Fault Diagnosis in Multicircuit Transmission Lines Using Fuzzy ARTmap Neural Networks
Abstract The work described in this paper addresses the problems of fault diagnosis in complex multicircuit transmission systems, in particular those arising due to mutual coupling between the two parallel circuits under different ...

Adaptive neural network clustering of web users.
Abstract A neural network based on adaptive resonance theory dynamically groups users based on their Web access patterns. A prefetching application of this clustering technique showed prediction accuracy as high as 97.78 percent. ...