Answer:
Sewing machine interactions at different speeds have been used to construct qualitative rules mapping fabric properties to optimum sewing machine settings for intelligent sewing machines. the inference procedures of fuzzy logic have been implemented in a neural network to allow for optimisation of output membership functions and, subsequently, self-learning. the technique is successfully applied to develop intelligent sewing machines and further implemented in textile and garment manufacturing. An intelligent manufacturing environment has been put forward in which fabric properties predict the sewability of any fabric, determine the minimum change of fabric properties required, and control in real time the stitching of a garment by using the feedback closed loop of the Neuro-Fuzzy model. the system has been successfully tried in an industrial setting. optimum settings were achieved under static and dynamic machine conditions, including for the properties of difficult fabrics and compensation for mishandling by the operator over the speed range of the sewing machine.
