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Machine learning design and machine learning in design
Representing design examples and design concepts
6 other sections not shown
analysis application approach Artificial Intelligence assisting preliminary design attribute specifies attribute-value pairs boundary element method bridge design bridge examples bridge length cable-stayed bridge CONCEPTOR conceptual clustering Deck width default reasoning default values Derivation learning described description learning design attributes design examples design knowledge acquisition design patterns design problem design processes design requirements design synthesis design systems design task design variables developed empirical formulas empirical knowledge empirical network equations evaluate exploration feasible Figure Fracture Mechanics generalise Gero Girder Height identified ill-structured knowledge representation knowledge-based learning design concepts learning design knowledge learning in design learning methods learning step learning system machine learning techniques Maher Markov networks methodology Michalski Morgan Kaufmann neural network nodes plank preliminary design stages prestressed proposed provides qualitative attributes qualitative variables relations representation for design semantic networks space specific structure SUPERSTRUCTURE-TYPE Topics in Engineering value ranges values and value