A Smoothing Interval Neural Network
In many applications, it is natural to use interval data to describe various kinds of uncertainties. This paper is concerned with an interval neural network with a hidden layer. For the original interval neural network, it might cause oscillation in the learning procedure as indicated in our numeric...
Saved in:
| Main Authors: | Dakun Yang, Wei Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2012/456919 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prespecified-time Synchronization of the Neural Networks via Smooth Controllers
by: SHAO Shao;WANG Xia;LIU Xiaoyang;HUANG Junwei
Published: (2020-03-01) -
Synchronization of Switched Interval Networks and Applications to Chaotic Neural Networks
by: Jinde Cao, et al.
Published: (2013-01-01) -
A deep neural network for adaptive spatial smoothing of task fMRI data
by: Zhengshi Yang, et al.
Published: (2025-04-01) -
Power Smoothing Enhancement in Hybrid System Using Neural Network Controller
by: Gopalakrushna A., et al.
Published: (2025-01-01) -
Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks
by: Yongyuan Chen, et al.
Published: (2025-01-01)