Fuzzy neural network with backpropagation for fuzzy quadratic programming problems and portfolio optimization problems

The study aspires to adopt back propagation fuzzy neural networks to solve fuzzy quadratic programming problems. The main motivation behind proposing a back propagation neural network is that it can easily adjust and fine-tune the weights of the network from the error rate obtained at the previous l...

詳細記述

書誌詳細

出版年:	Nonlinear Engineering
主要な著者:	Khan Izaz Ullah, Khan Raja Muhammad Usama Ali, Ullah Mehran, Shah Muhammad Shahbaz
フォーマット:	論文
言語:	英語
出版事項:	De Gruyter 2024-12-01
主題:	fuzzy quadratic programming back propagation fuzzy neural networks portfolio optimization mean variance portfolio model
オンライン･アクセス:	https://doi.org/10.1515/nleng-2024-0023