Assisted research of the Dynamic Neural Networks with Time-Delays and Recurrent Links

摘要：

The paper showed the assisted research of one new model of digital dynamic neural network by using the LabVIEW proper virtual instrumentation and proper mathematical model.In the research were used some different way to optimize the convergence process,for example: using one time-delay of the first and second output from the neural layers;using the recursive link and time-delay;using the bipolar sigmoid hyperbolic tangent sensitive function replacing the sigmoid simple sensitive function.By on-line simulation of the neural network it is possible to know what will be the influences of all network parameters like the input data,weight,biases matrix,sensitive functions,closed loops and timedelay,to the gradient errors,in a convergence process.By on-line using the proper virtual LabVIEW instrumentation,were established some influences of the network parameters: number of input vector data,number of neurons in each layers,to the number of iterations before canceled the mean square error to the target.In the optimization research we used the minimization of the gradient error function between the output and the target.

关键词： dynamic neural network control system virtual simulation LabVIEW instrumentation

作者: Adrian Olaru Serban Olaru Dan Paune

作者单位: Politehnica University of Bucharest,Romania RomSYS Mechatronics Systems Society

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Advanced Material Research(2012 第二届先进材料研究国际会议 ICAMR2012)

会议地点: 成都

会议语种:英文

页码: 1094-1097

在线出版日期: 2012-01-07（万方平台首次上网日期，不代表论文的发表时间）