A decision support system using hybrid AI based on multi-image quality model and its application in color design
| Autor: | Suyun Lian, Fan Wang, Bingsheng Chen, Mengshan Li, Yan Wu, Yanying Zhou, Lixin Guan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
Artificial neural network Computer Networks and Communications Computer science business.industry Color image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Particle swarm optimization 020206 networking & telecommunications 02 engineering and technology Color scheme Hardware and Architecture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Cluster analysis Software ComputingMethodologies_COMPUTERGRAPHICS Network model |
| Zdroj: | Future Generation Computer Systems. 113:70-77 |
| ISSN: | 0167-739X |
| DOI: | 10.1016/j.future.2020.06.034 |
| Popis: | The product-color image conveys consumers’ color demands through emotion cognition. In this paper, a decision support system is proposed based on the hybrid artificial intelligence algorithm. The proposed system explores the internal correlation between the color image and demand of users. In the proposed system, an artificial neural network based on the radial basis function is employed. The network model is trained with an improved particle swarm optimization combined with the weight-adaptive strategy and chaos theory. The proposed model predicts the multi-uses’ color images. Then, the decision colors are extracted from the predicted colors by K-harmonic means clustering. The experimental results show that the proposed color decision support system is promising in designing the color scheme and providing theoretical guidance for the product-color design. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect