Optimal Structure and Parameters of BP Neural Network for Curve Fitting Problem
Hongjie Yi, Guangrong Ji, Jinghua Liu, Lin Jia
Available Online April 2016.
- https://doi.org/10.2991/emim-16.2016.334How to use a DOI?
- BP neural network; Optimal structure and parameters; Curve fitting; Learning rate; Momentum
- BP neural network is wildly used because of its strong nonlinear processing ability, self-learning capability, fault tolerance capability. Therefore, the structure and parameters of artificial neural network determine the performance of neural networks. The performance of a BP neural network is not only affected by the network structure, but also affected by its parameters. In this article we will discuss the learning rate and momentum parameters matching relationship and its impact on network performance. The experimental results show that for the curve fitting problem there will be an optimal structure and parameters for the BP neural network.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hongjie Yi AU - Guangrong Ji AU - Jinghua Liu AU - Lin Jia PY - 2016/04 DA - 2016/04 TI - Optimal Structure and Parameters of BP Neural Network for Curve Fitting Problem BT - 6th International Conference on Electronic, Mechanical, Information and Management Society PB - Atlantis Press SP - 1647 EP - 1652 SN - 2352-538X UR - https://doi.org/10.2991/emim-16.2016.334 DO - https://doi.org/10.2991/emim-16.2016.334 ID - Yi2016/04 ER -