Abstract
The paper describes the components of an artificial intelligence based system intended to control the manufacturing processes of composite materials with polymeric matrix. Based on previous results in which neural networks were trained initially with simulated data and then continued to acquire experimental values over Internet for refining their knowledge, the system includes updated state-of-the-art data acquisition components, improved statistical data processing capabilities and the ability of real-time controlling the manufacturing equipment. Keywords: composite materials, polymeric matrix, artificial intelligence