Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features …

Z Li, K Shi, N Dey, AS Ashour, D Wang… - Neural Computing and …, 2017 - Springer
Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …
被引用次数：80 相关文章

Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features …

Z Li, K Shi, N Dey, AS Ashour, D Wang… - Neural Computing and …, 2016 - infona.pl
Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …

Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features …

Z Li, K Shi, N Dey, AS Ashour, D Wang… - Neural Computing and …, 2017 - dl.acm.org
Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …

Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features …

Z Li, K Shi, N Dey, A Ashour, D Wang… - Neural Computing …, 2017 - search.ebscohost.com
Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …

Rule-Based Back Propagation Neural Networks For Various Precision Rough Set Presented Kansei Knowledge Prediction: A Case Study On Shoe Product Form …

Z Li, K Shi, N Dey, AS Ashour… - Neural Computing and …, 2017 - stars.library.ucf.edu
Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …

Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features …

Z Li, K Shi, N Dey, A Ashour, D Wang… - Neural Computing …, 2017 - search.ebscohost.com
Nonlinear operators for KANSEI evaluation dataset were significantly developed such as
uncertainty reason techniques including rough set, fuzzy set and neural networks. In order to …