Evaluating the Use of Artificial Neural Networks and Graph Complexity to Predict Automotive Assembly Quality Defects.
Apurva PatelPatrick AndrewsJoshua D. SummersErin HarrisonJoerg SchulteM. Laine MearsPublished in: J. Comput. Inf. Sci. Eng. (2017)
Keyphrases
- artificial neural networks
- higher quality
- high quality
- graph theory
- computational complexity
- using artificial neural networks
- worst case
- graph structure
- computational cost
- computational intelligence
- genetic algorithm ga
- neural network
- genetic algorithm
- graph partitioning
- machine learning
- graph construction
- defect classification
- graph based algorithm
- graph representation
- graph databases
- graph model
- graph mining
- quality measures
- bipartite graph
- graph matching
- np hard
- evolutionary algorithm
- search algorithm