Web-based Machine Learning Platform for Condition- Monitoring

Author:

Bernard Thomas,Kühnert Christian,Campbell Enrique

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. B. Bhattacharya, R.K. Price, D.P. Solomatine: Machine Learning Approach to Modeling Sediment Transport, Journal of Hydraulic Engineering, 2007

2. C- Bishop: Pattern recognition and machine learning, Springer, 2006

3. E. Gamma, R. Helm, R. Johnson, J. Vlissidies: Design Patterns: Elements of Reusable Object- oriented Software, Addison-Wesley, 1994

4. C. Kuehnert et. al.: A new alarm generation concept for water distribution networks based on machine learning algorithms, 11th International Conference on Hydroinformatics, 2014

5. T. Marwala: Gaussian Mixture Models and Hidden Markov Models for Condition Monitoring, In:Condition Monitoring Using Computational Intelligence Methods, Springer, 2012

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