Search Results for author:
Found 5 papers, 3 papers with code
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems
The resulting fuzzified features then navigate a hidden layer through random projection as well as yielding defuzzified values via defuzzification.
Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers
In the realm of data classification, broad learning system (BLS) has proven to be a potent tool that utilizes a layer-by-layer feed-forward neural network.
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning
To overcome this limitation, we propose a novel graph embedded intuitionistic fuzzy RVFL for class imbalance learning (GE-IFRVFL-CIL) model incorporating a weighting mechanism to handle imbalanced datasets.
Random vector functional link network: recent developments, applications, and future directions
To overcome these issues, randomization based neural networks such as random vector functional link (RVFL) network have been proposed.
Ensemble deep learning: A review
Deep ensemble learning models combine the advantages of both the deep learning models as well as the ensemble learning such that the final model has better generalization performance.
