Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amount of published literature on the subject.
Compiling information from diverse sources, Composite Materials Technology: Neural Network Applications fills the void in knowledge of these important networks, covering composite mechanics, materials characterization, product design,...

Composite Materials: Concurrent Engineering Approach covers different aspects of concurrent engineering approaches in the development of composite products. It is an equally valuable reference for teachers, students, and industry sectors, including information and knowledge on concurrent engineering for composites that are gathered together in one comprehensive resource.

• Contains information that is specially designed for concurrent engineering studies
• Includes new topics on conceptual design in the context of concurrent engineering for...