An Improved Neural Network Model and Its Applications ⋆
نویسندگان
چکیده
Elman Neural Network has been an efficient system identification tool in many areas. However, one of the problems often associated with this type of network is that the speed of learning is too slow. The HF Elman neural network is presented for the modeling of unknown delay and high-order nonlinear system. Then chaos searching is imported to train it, make BP algorithm can skip the local minimum and find the global minimum easily. The simulation result shows that the proposed method can speed up the original ENN algorithm and get good results for the prediction tasks.
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