This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
Advanced wireless sensor network algorithms pose challenges to their formal modeling and analysis, such as modeling probabilistic and real-time behaviors and novel forms of commun...
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
We address the problem of confidentiality in scenarios where the attacker is not only able to observe the communication between principals, but can also fully compromise the commu...