Fast Learning Neural Network with Modified Neurons
Rey‐Chue Hwang, Yu-Ju Chen, Shang-Jen Chuang, Huang‐Chu Huang, Wei‐Der Chang · 2005
In this paper, a neural model with modified neurons is developed. Compare with traditional neural network, such a neural model not only has a fast learning, but also can significantly improve the accuracy while it is used in real applications. To demonstrate the learning efficiency of neural model we developed, a nonlinear system identification problem is studied and simulated. All simulations are performed by using constant learning rates (0.1/spl sim/0.9). From the simulation results, the neural model we developed obviously has excellent performances as desired.