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- Title
Prediction of thermo-physiological properties of plated knits by different neural network architectures.
- Authors
Jhanji, Y.; Gupta, D.; Kothari, V. K.
- Abstract
Thermo-physiological properties of polyester-cotton plated knits have been predicted using two different network architectures (NA1 & NA2). NA1 consists of four individual networks working in tandem with common set of inputs and NA2 consists of one network giving four outputs. It is found that network architecture NA1 is able to predict the thermophysiological properties of plated fabrics better as compared to NA2 network architecture. Sensitivity analysis is performed to judge the sensitivity or the importance of each input parameter in determining thermo-physiological properties of plated fabrics. The most sensitive parameter in prediction of thermal resistance is total yarn linear density, filament fineness for thermal absorptivity, loop length for air permeability and moisture vapour transmission rate.
- Subjects
POLYESTERS; KNIT goods; TEXTILE density; THERMAL resistance; ARTIFICIAL neural networks
- Publication
Indian Journal of Fibre & Textile Research, 2018, Vol 43, Issue 1, p44
- ISSN
0971-0426
- Publication type
Article