Barriers and enhance strategies for green supply chain management using continuous linear diophantine neural networks
Abstract Artificial neural networks, a major element of machine learning, focus additional attention on the decision-making process. We extended the idea of artificial neural networks to continuous linear Diophantine fuzzy neural networks. A few operational concepts for continuous linear Diophantine...
Saved in:
Main Authors: | Shougi S. Abosuliman, Saleem Abdullah, Nawab Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01623-9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fuzzy Normed Linear Spaces Generated By Linear Functionals
by: Ali Reza Khoddami, et al.
Published: (2024-07-01) -
MANAGING SUPPLY CHAIN RISKS: A FUZZY-FAILURE MODE AND EVALUATION APPROACH FOR RANKING THREATS
by: AYODELE OLUWASEGUN OLUWOLE, et al.
Published: (2021-12-01) -
An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain
by: Muhammad Asrol, et al.
Published: (2025-02-01) -
Supply chain performance in the age of Industry 4.0
by: Tahsina Khan, et al.
Published: (2025-02-01) -
Unlocking Sustainability through Supply Chain Visibility
by: Md Mehedi Hasan Emon, et al.
Published: (2024-11-01)