Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation 2010
DOI: 10.5220/0003083704290434
|View full text |Cite
|
Sign up to set email alerts
|

Multi Mother Wavelet Neural Network Based on Genetic Algorithm for 1d and 2d Functions’ Approximation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…The iteration is set to 30000. In these experiments, the DEAW approximates the 2D-function 𝑓 7 , 𝑓 8 to compare with MMWNN-GA method in [5]. As seen in table 10, the error rate of our proposed method reaches 4.41E-03 which is higher than the MMWNN-GA method.…”
Section: B Comparison On 2d-function Approximation Problemsmentioning
confidence: 92%
See 2 more Smart Citations
“…The iteration is set to 30000. In these experiments, the DEAW approximates the 2D-function 𝑓 7 , 𝑓 8 to compare with MMWNN-GA method in [5]. As seen in table 10, the error rate of our proposed method reaches 4.41E-03 which is higher than the MMWNN-GA method.…”
Section: B Comparison On 2d-function Approximation Problemsmentioning
confidence: 92%
“…For more comparison tests, we applied the DEAW algorithm to approximate the 2D functions which are used in [5]. The functions are represented as follows.…”
Section: B Comparison On 2d-function Approximation Problemsmentioning
confidence: 99%
See 1 more Smart Citation