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This paper presents a novel and data-independent method to construct a type of partially connected feedforward neural network (FNN). The proposed networks, called Apollonian network-based partially connected FNNs (APFNNs), are constructed in terms of the structures of two-dimensional...
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This paper presents a combined use of both RFID technology and product cross-selling system to perform cross- and up-selling for retail industry. In this study, two systems, namely the Smart Dressing System (SDS) enabled by RFID technologies, and Intelligent Product Cross-selling System (IPCS),...
Persistent link: https://www.econbiz.de/10010597259
A hybrid intelligent (HI) model, comprising a data preprocessing component and a HI forecaster, is developed to tackle the medium-term fashion sales forecasting problem. The HI forecaster firstly adopts a novel learning algorithm-based neural network to generate initial sales forecasts and then...
Persistent link: https://www.econbiz.de/10008869705
A multi-objective production planning problem in the labor-intensive manufacturing industry is investigated. An intelligent and real-time multi-objective decision-making model is developed to provide timely and effective solutions for this problem by integrating RFID technology with intelligent...
Persistent link: https://www.econbiz.de/10011043284
This paper proposes an information system framework for production collaboration and standardization in Chinese liquor industry, and examines the key implementation issues of information systems in Chinese liquor production. A descriptive single case study is conducted to explore and identify...
Persistent link: https://www.econbiz.de/10012044468
Global manufacturing companies have some pressing needs to improve production visibility and decision-making performance by implementing effective production monitoring and scheduling. This paper proposes a radio frequency identification (RFID)-based intelligent decision support system...
Persistent link: https://www.econbiz.de/10011116420