3,454 research outputs found
Ant Colony Optimization of Rough Set for HV Bushings Fault Detection
Most transformer failures are attributed to bushings failures. Hence it is
necessary to monitor the condition of bushings. In this paper three methods are
developed to monitor the condition of oil filled bushing. Multi-layer
perceptron (MLP), Radial basis function (RBF) and Rough Set (RS) models are
developed and combined through majority voting to form a committee. The MLP
performs better that the RBF and the RS is terms of classification accuracy.
The RBF is the fasted to train. The committee performs better than the
individual models. The diversity of models is measured to evaluate their
similarity when used in the committee.Comment: Fourth International Workshop on Advanced Computational Intelligence
(IWACI 2011
Designing algorithms to aid discovery by chemical robots
Recently, automated robotic systems have become very efficient, thanks to improved coupling between sensor systems and algorithms, of which the latter have been gaining significance thanks to the increase in computing power over the past few decades. However, intelligent automated chemistry platforms for discovery orientated tasks need to be able to cope with the unknown, which is a profoundly hard problem. In this Outlook, we describe how recent advances in the design and application of algorithms, coupled with the increased amount of chemical data available, and automation and control systems may allow more productive chemical research and the development of chemical robots able to target discovery. This is shown through examples of workflow and data processing with automation and control, and through the use of both well-used and cutting-edge algorithms illustrated using recent studies in chemistry. Finally, several algorithms are presented in relation to chemical robots and chemical intelligence for knowledge discovery
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