Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models.
Mario LovricRichard MeisterThomas SteckLeon FadljevicJohann GerdenitschStefan SchusterLukas SchiefermüllerStefanie N. LindstaedtRoman KernPublished in: Adv. Model. Simul. Eng. Sci. (2020)
Keyphrases
- hybrid models
- machine learning
- neural network
- hybrid model
- pattern recognition
- learning algorithm
- learning tasks
- supervised learning
- image processing
- computational intelligence
- fault diagnosis
- reinforcement learning
- text mining
- similarity measure
- decision trees
- prior knowledge
- machine learning algorithms
- computer vision
- data mining
- feed forward neural networks
- data sets