Fuzzy Neural Network for Fuzzy Quadratic Programming With Penalty Function and Mean-Variance Markowitz Portfolio Model
This research tries to integrate fuzzy neural networks with penalty function to address the quadratic programming based on the mean-variance Markowitz portfolio model. The fuzzy quadratic programming problem with penalty function consists of the lower, central, and upper models. The models utilize f...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2024/8694583 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|