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Non-linear system identification of an autocatalytic reactor using least squares support vector machines
The concepts behind support vector machines are very interesting both in theory and in practice, as they are based on a universal constructive learning procedure derived from the statistical learning theory developed by ...
Monitoring of an industrial liquid-liquid extraction system with kernel-based methods
The behaviour of liquid-liquid extraction systems can be complex and as a result linear methods of process condition monitoring such as principal component analysis or partial least squares may not be able to detect and ...