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HIS
2001
15 years 8 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
IJCNN
2007
IEEE
16 years 28 days ago
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
Abstract— Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is v...
Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz...
IROS
2007
IEEE
93views Robotics» more  IROS 2007»
16 years 28 days ago
Computational sensor networks
— We propose Computational Sensor Networks as a methodology to exploit models of physical phenomena in order to better understand the structure of the sensor network. To do so, i...
Thomas C. Henderson, Christopher A. Sikorski, Edwa...
132
Voted
AI
2007
Springer
15 years 6 months ago
An application of formal argumentation: Fusing Bayesian networks in multi-agent systems
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
Søren Holbech Nielsen, Simon Parsons
OPODIS
2003
15 years 8 months ago
A Peer-to-Peer Approach to Enhance Middleware Connectivity
One of the problems of middleware for shared state is that they are designed, explicitly or implicitly, for symmetric networks. However, since the Internet is not symmetric, end-to...
Erik Klintskog, Valentin Mesaros, Zacharias El Ban...