Neural network based real-time production scheduling for industrial processes
β Scribed by Bao Li-wei; Lu Yong-zai
- Publisher
- Elsevier Science
- Year
- 1989
- Weight
- 555 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0066-4138
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Time-Multiplexing Scheme for Cellular Neural Networks Based Image Processing he state of the art work in Cellular Neural Networks (CNN) has concentrated on VLSI implementations without really addressing the 'systems level'. While efficient implementations have Tbeen reported, no reports have be
## Abstract Dynamic resource allocation (DRA) plays a fundamental role in current and future wireless networks, including 3G systems. In this paper, a scheduling DRA scheme for nonβrealβtime (NRT) packet services in wireless system is proposed based on the use of Hopfield neural networks (HNN). The
This paper describes how to build a quality prediction model for complex industrial production processes using dynamic neural networks. It is known that it is difficult to analyze the mechanisms of many complex industrial production processes and build models by employing classical methods. In this