Simulation of Neural Networks - Open Source for Production Control | 
|
Open Source in der Produktionsregelung
| Journal | Industrie Management |
| Issue | Volume 26, 2010, Edition 3, Pages 21-24 |
| Share | Cite | Download |
Abstract
Dynamics and complexity of today`s production systems bring established approaches for production planning and control to their limits. Accordingly, developing new concepts and methods is a key point for research in this area. The combination of a decentralized control structure and innovative methods from the field of artificial intelligence seems promising here. Open source tools have proven their applicability to implement those methods. They are disposable and can be flexibly adapted to many problems. This contribution introduces an approach for the decentralized control of a shop floor. Here, artificial neuronal networks are used as adaptive control instruments. The simulation of these networks is performed with the open source tool Stuttgart Neural Network Simulator (SNNS) and its successor Java Neural Network Simulator (JNNS).
Keywords
artificial neural networks, continuous learning, Künstliche neuronale Netze, Open Source, Open Source, production control, Simulation, Simulation
Access limited
You are currently not logged in / not yet registered.
In order to download the desired file(s), you must be logged in and have an appropriate inclusive subscription. Alternatively, you can also obtain access by paying a one-off fee.
| Subscription | included | Purchase |
|---|---|---|
| without | − | 29,00 € |
| Digital | ✓ | 0,00 € |
| Expert | ✓ | 0,00 € |
| Professional | ✓ | 0,00 € |
All prices include 7% VAT
After purchasing access rights, you will automatically be redirected back to this page.
Potentials: Business Models
Solutions: Production Control
