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...

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),...

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...

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...

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...