Context Dependent Controller by Overlapped Neural Networks for Performance Metrics Revision

摘要：

We introduce a novel approach for problems regardless of sufficiency or accuracy of their historical observations or lab simulation data. Our approach is based on imposing a context of problem performance metrics into networks and gaining the enhancement towards its satisfactory state. We use an overlapped system of back propagation neural networks for our purpose. A main neural network is responsible for mapping input and output relation while a regulatory neural network evaluates the performance metrics satisfaction. We provide special training and testing algorithms for the overlapped system that guarantees a synchronized solution for both neural networks. An example of traffic control problem is simulated. The result of simulation shows a great enhancement of the solution using our approach.

关键词： Context dependent neural network Performance metrics revision Overlapped neural networks

作者: Atef Mohamed Ruizhong Wei

作者单位: Department of Computer Science Lakehead University Thunder Bay, ON, Canada P7B 5E1

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 507-516

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）