Generative models for anomaly detection and design-space dimensionality reduction in shape optimization
D D'Agostino - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Our work presents a novel approach to shape optimization, with the twofold objective to
improve the efficiency of global optimization algorithms while promoting the generation of …
improve the efficiency of global optimization algorithms while promoting the generation of …
Maximum local density-driven non-overlapping radial basis function support kernel neural network
The learning and optimization of kernels in the radial basis function neural network (RBFNN)
are crucial. However, in existing methods, there are issues of overfitting when learning …
are crucial. However, in existing methods, there are issues of overfitting when learning …
A Novel Fuzzy Hypersphere Neural Network Classifier using Class Specific Clustering for Robust Pattern Classification
This paper introduces two novel class-specific fuzzy clustering algorithms: Mean-based
Supervised Clustering (MSC) and Density-based Mean Supervised Clustering (DMSC) …
Supervised Clustering (MSC) and Density-based Mean Supervised Clustering (DMSC) …