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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 12 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
IPPS
1999
IEEE
15 years 11 months ago
A Genetic-Based Fault-Tolerant Routing Strategy for Multiprocessor Networks
Abstract. We have investigated the adaptation of AI-based search techniques as topologyindependent fault-tolerant routing strategies on multiprocessor networks [9]. The results sho...
Peter K. K. Loh, Venson Shaw
WWW
2006
ACM
16 years 7 months ago
Community discovery and analysis in blogspace
Weblog has quickly evolved into a new information and knowledge dissemination channel. Yet it is not easy to discover weblog communities through keyword search. The main contribut...
Ying Zhou, Joseph Davis
IEEEARES
2009
IEEE
16 years 1 months ago
A Mobile Ambients-Based Approach for Network Attack Modelling and Simulation
Abstract—Attack Graphs are an important support for assessment and subsequent improvement of network security. They reveal possible paths an attacker can take to break through se...
Virginia N. L. Franqueira, Pascal van Eck, Roel Wi...
WWW
2005
ACM
16 years 7 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...