用含动态隐层的前馈网辨识非线性系统
Nonlinear System Identification Using Feedforward Neural Networks with Recurrent Hidden Layer
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Abstract: This paper presents a feedforward neural network which contains a dynamic hidden layer (RHNN) for the modeling of a nonlinear system and the feasibility of this approach is proved. The learning algorithm is the dynamic BP. In the simulation a comparison between RHNN and RFNN for modeling a nonlinear system is made.
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Key words:
- Feedforward neural networks /
- system identification /
- dynamic BP algorithm
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