[HTML][HTML] Random vector functional link network: recent developments, applications, and future directions
Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
GB-RVFL: Fusion of randomized neural network and granular ball computing
The random vector functional link (RVFL) network is a prominent classification model with
strong generalization ability. However, RVFL treats all samples uniformly, ignoring whether …
strong generalization ability. However, RVFL treats all samples uniformly, ignoring whether …
Graph embedded intuitionistic fuzzy random vector functional link neural network for class imbalance learning
The domain of machine learning is confronted with a crucial research area known as class
imbalance (CI) learning, which presents considerable hurdles in the precise classification of …
imbalance (CI) learning, which presents considerable hurdles in the precise classification of …
Graph embedded intuitionistic fuzzy RVFL for class imbalance learning
The domain of machine learning is confronted with a crucial research area known as class
imbalance learning, which presents considerable hurdles in the precise classification of …
imbalance learning, which presents considerable hurdles in the precise classification of …
Wave-RVFL: A randomized neural network based on wave loss function
The random vector functional link (RVFL) network is well-regarded for its strong
generalization capabilities in the field of machine learning. However, its inherent …
generalization capabilities in the field of machine learning. However, its inherent …
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning
The classification performance of the random vector functional link (RVFL), a randomized
neural network, has been widely acknowledged. However, due to its shallow learning …
neural network, has been widely acknowledged. However, due to its shallow learning …
Breast cancer detection via wavelet energy and feed-forward neural network trained by genetic algorithm
J Wang - EAI Endorsed Transactions on AI and Robotics, 2023 - publications.eai.eu
Enhancing the precision of breast cancer detection is the primary objective of this
investigation, given its status as the most prevalent cancer among women worldwide. Timely …
investigation, given its status as the most prevalent cancer among women worldwide. Timely …
[PDF][PDF] GRVFL-2V: Graph Random Vector Functional Link Based on Two-View Learning
The classification performance of the random vector functional link (RVFL), a randomized
neural network, has been widely acknowledged. However, due to its shallow learning …
neural network, has been widely acknowledged. However, due to its shallow learning …