Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Evolving artificial intelligence
Evolving artificial intelligence
Design of a fuzzy traffic controller for ATM networks
IEEE/ACM Transactions on Networking (TON)
Computers and Operations Research
A bibliography of neural network business applications research: 1994–1998
Computers and Operations Research - Neural networks in business
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fuzzy Sets Engineering
Computational Intelligence in Telecommunications Networks
Computational Intelligence in Telecommunications Networks
Overview of Fuzzy-RED in Diff-Serv Networks
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
A Learning System for Decision Support in Telecommunications
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Fusion of neural networks with fuzzy logic and genetic algorithm
Integrated Computer-Aided Engineering
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Active networks: Applications, security, safety, and architectures
IEEE Communications Surveys & Tutorials
A VLSI fuzzy expert system for real-time traffic control in ATM networks
IEEE Transactions on Fuzzy Systems
A survey of active network research
IEEE Communications Magazine
Applications of neural networks in high-speed communication networks
IEEE Communications Magazine
Projecting advanced enterprise network and service management to active networks
IEEE Network: The Magazine of Global Internetworking
| Hi-index | 0.00 |
In this paper, some application of computational intelligence techniques in active networking technology well be presented. Computational intelligent techniques, e.g., neural networks, fuzzy systems, neuro-fuzzy systems, and evolutionary algorithms have been successfully applied for many engineering problems. The introduction of active networking adds a high degree of flexibility in customizing the network infrastructure and introduces new functionality. Therefore, there is a clear need for investigating both the applicability of computational intelligence techniques in this new networking environment, as well as the provisions of active networking technology that computational intelligence techniques can exploit for improved operation.