Tham khảo tài liệu 'artificial neural networks industrial and control engineering applications part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Study Area No Title Author Journal Year Vol No pp. Findings Limitations fabric development by an engineered approach of a radial basis function network which was trained with worsted fabric constructional parameters In few cases the network has predicted contradictory trends which are found difficult to be explained 20 An Artificial Neural Network Model for the Prediction of Spirality of Fully Relaxed Single Jersey Fabrics Murrells et al. Textile Research Journal 2009 79 3 227-234. the prediction of the degree of spirality of single jersey fabrics made from a total of 66 fabric samples produced from three types of 100 cotton yarn samples The neural network model outperformed the multiple regression model in predicting the angle of spirality using data that were not used to train the network. This indicates that it is worthwhile using the more complex ANN technique if a large amount of different types of data are available Artificial Neural Networks - Industrial and Control Engineering Applications Study Area No Title Author Journal Year Vol No pp. Findings Limitations 21 The Prediction of Initial Load-extension Behavior of Woven Fabrics Using Artificial Neural Network Hadizad eh et al. Textile Research Journal 2009 79 17 1599-1609. predicting initial load-extension behavior Young s modulus in the warp and weft directions of plain weave and plain weave derivative fabrics 22 Application of an Adaptive Neuro-fuzzy System for Prediction of Initial Load-Extension Behavior of Plain-woven Fabrics Hadizad eh et al. Textile Research Journal 2010 80 10 981-990. predicting initial load-extension behavior of plain-woven fabrics based on an adaptive neuro-fuzzy inference system ANFIS Fabric defect 23 Fabric Inspection Based on Best Wavelet Packet Bases Hu and Tsai Textile Research Journal 2000 70 8 662-670. best wavelet packet bases and an artificial neural network ANN to inspect four kinds of fabric defects 24 Classifying Web Defects with a Back- Propagation Neural Network
