A new parallel back-propagation algorithm for neural networks
- Resource Type
- Conference
- Authors
- Ji, Peirong; Wang, Peng; Zhao, Qin; Zhao, Li
- Source
- Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on. :807-810 Sep, 2011
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Training
Tin
BP neural network
parallel algorithm
dynamic load balancing
- Language
- ISSN
- 2166-9430
2166-9449
The BP neural network is one of the most widely used neural networks. It uses the back-propagation algorithm for training, and the algorithm has the disadvantage of slow convergence and long training time. In this paper, a parallel BP neural network algorithm with a balancing scheme of dynamic load is presented in order to reduce the training time of large scale neural networks. The experimental results indicate that the proposed algorithm has the feature of speeding-up computation for the large scale neural networks.