Incremental Fuzzy Clustering-Based Neural Networks Driven with the Aid of Dynamic Input Space Partition and Quasi-Fuzzy Local Models

Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function

Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks

Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis

Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation

Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications

Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted l(2) regularization strategy and augmented random vector functional link network

Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy

Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations

Ensemble fuzzy radial basis function neural networks architecture driven with the aid of multi-optimization through clustering techniques and polynomial-based learning