Current Proceedings on Technology

Current Proceedings on Technology

A Novel Approach for Optimal Rule Creation and Classification in Autonomous, Self-directed, Ant-optimized Adaptive Learning-based Intelligent Network Architecture

Yazarlar: Zeshan Iqbal, Farhan Aadil

Cilt - , Sayı 8 , 2015 , Sayfalar -

Konular:-

Anahtar Kelimeler:ASAALI,Autonomous network management,Ant-Miner-CC,ACO,Learning,Classification.

Özet: An Autonomous, Self-directed, Ant-optimized Adaptive Learning-based Intelligent Network Architecture (ASAALI) is a self-learning network management system [1] in which the collection and analysis of data from all Autonomous Nodes (AN), for generation of rule-sets was a significantly important but time consuming process. As a solution for efficient analysis and creation of optimized rule-sets an Ant Colony Optimization (ACO) based classifier AntMiner-CC [2] is used based on its performance comparison with other well-known learning based classifiers. Rule-sets are later used by Adaptation and Planning Network layer of ASAALI for imposing decisions over the heterogeneous network environment.

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@article{2015, title={A Novel Approach for Optimal Rule Creation and Classification in Autonomous, Self-directed, Ant-optimized Adaptive Learning-based Intelligent Network Architecture}, number={0}, publisher={Current Proceedings on Technology }, author={Zeshan Iqbal, Farhan Aadil}, year={2015} }
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Zeshan Iqbal, Farhan Aadil. (2015). A Novel Approach for Optimal Rule Creation and Classification in Autonomous, Self-directed, Ant-optimized Adaptive Learning-based Intelligent Network Architecture. Current Proceedings on Technology .
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Zeshan Iqbal, Farhan Aadil. A Novel Approach for Optimal Rule Creation and Classification in Autonomous, Self-Directed, Ant-Optimized Adaptive Learning-Based Intelligent Network Architecture. no. 0, Current Proceedings on Technology , 2015.
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