... the body shape and the shape of clothing, garments designed for the upper and lower body are combined to fit different female body shapes, which are classified as V, A, H and O-shapes. The proposed intelligent system combines genetic algorithm (GA) with a neural network classifier, which is trained using...

... by Kawabata evaluation system. Design/methodology/approach Two soft computing approaches, namely artificial neural network (ANN) and fuzzy inference system (FIS), have been applied to predict the compression and surface properties of knitted fabrics from finishing process. The prediction accuracy...

...Shin‐Woong Park; Young‐Gu Hwang; Bok‐Choon Kang; Seong‐Won Yeo This paper concentrated on the objective evaluation of total hand value in knitted fabrics using the theory of neural networks and the comparison of two methods. For the objective evaluation of overall hand feeling in knitted fabric, 47...

...S. Sette; M.L. Boullart Quality assessment and fault detection are important topics in textile research. Human assessment in this field, however, is subjective and slow. Presents an automatic assessment using two fundamentally different kinds of neural networks: the Kohonen Map (an unsupervised...

...G. Stylios; R. Parsons‐Moore Seam pucker can be predicted using thickness, weight, and weft and warp (cantilever) bending stiffness as inputs to a back propagation neural network technique. Correlation coefficients between network approximation and subjective assessment of higher than 0.875 have...