Artificial Neural Network System for the Design of Airbag Fabrics
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This article was published in Journal of Industrial Textiles.
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- Artificial Neural Network (ANN) and Adaptive Neuro-fuzzy Inference System (ANFIS) approaches for predicting thermal conductivity of twill woven cotton fabric
- PREDICTING THE THERMAL INSULATION PROPERTIES OF TWILL WOVEN COTTON FABRIC BY USING ANN AND ANFIS
- A novel spectral prediction method based on Transformer neural network for high-fidelity color reproduction
- A hybrid artificial intelligence model to predict the color coordinates of polyester fabric dyed with madder natural dye
- Comparison of ANFIS and ANN modeling for predicting the water absorption behavior of polyurethane treated polyester fabric
- Predicting air permeability of multifilament polyester woven fabrics using developed fuzzy logic model
- Analysis and prediction of air permeability of woven barrier fabrics with respect to material, fabric construction and process parameters
- Airbags
- Prediction of dimensional properties of weft knitted cardigan fabric by artificial neural network system
- Development of prediction system using artificial neural networks for the optimization of spinning process
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