Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural networks for pattern recognition
Neural networks for pattern recognition
Neural Networks in Bioprocessing and Chemical Engineering: With Disk
Neural Networks in Bioprocessing and Chemical Engineering: With Disk
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Predicting tactile fabric comfort from mechanical and handfeel properties using regression analysis
ACS'08 Proceedings of the 8th conference on Applied computer scince
ACS'08 Proceedings of the 8th conference on Applied computer scince
Tactile fabric comfort prediction using regression analysis
WSEAS Transactions on Computers
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The relationship between mechanical and sensorial properties of textile materials, with perceived comfort is complex and non-linear. A system to analyze the aforementioned relationship using Artificial Intelligence (AI) tools is developed. Since the number of parameters that influence perceived sensation is beyond the capability of any existing model, a model-free algorithm based on a biological system of perception with the aid of neural network mapping is attempted. Mechanical properties - measured objectively using the Kawabata Evaluation System for Fabrics (KES-F) and HandFeel properties - measured subjectively using a sensory expert panel is related to the tactile comfort sensation of textile materials using AI tools. Also, brief comparison with a linear statistical approach is presented.