The use of fuzzy logic and neural networks models for sensory properties prediction from process and structure parameters of knitted fabrics

Author:

El-Ghezal Jeguirim Selsabil,Dhouib Amal Babay,Sahnoun Mahdi,Cheikhrouhou Morched,Schacher Laurence,Adolphe Dominique

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference42 articles.

1. AATCC. (1990). Fabric Hand: Guidelines for the subjective evaluation. Compiled by AATCC committee RA89, hand evaluation test methods.

2. Abdi, H., & Valentin, D. (2007). Some new and easy ways to describe, compare, and evaluate products and assessors, SPISE, New trends in sensory evaluation of food and non-food products symposium aims to encourage implementing sensory evaluation techniques (pp. 3–16). Vietnam.

3. Bishop, D. P. (1996). Fabrics: Sensory and mechanical properties, textile progress, vol. 26, no. 3.

4. Brand, B., Brown, D. M., Cameron, B. A., Chanler, J., Dallas, M. J., Kaiser, S. B., et al. (1998). Development of an interdisciplinary method for the study of fabric perception. Textile Research Journal, 89, 65–77

5. Cardello A. V., Winterhalter C., Shutz H. G. (2003) Predicting the handle and comfort of military clothing fabrics from sensory and instrumental data: development and application of new psychophysical methods. Textile Research Journal 73: 221–237

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