Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Antônio B. S. Júnior
System Identification Through RBF Neural Networks: Improving Accuracy by a Numerical Approximation Method for the Centroids and Widths Adjustment
Related publications
Enhanced Hybrid Method of Divide-And-Conquer and RBF Neural Networks for Function Approximation of Complex Problems
Turkish Journal of Electrical Engineering and Computer Sciences
Electronic Engineering
Electrical
Computer Science
Improving the Performance of the RBF Neural Networks Trained With Imbalanced Samples
Nonlinear Identification on Based RBF Neural Network
ELM-RBF Neural Networks Using Micro-Genetic Algorithm for Optimization
International Journal of Hybrid Information Technology
Computer Science
Corporate System Users Identification by the Keyboard Handwriting Based on Neural Networks
International Journal of Innovative Technology and Exploring Engineering
Mechanics of Materials
Electronic Engineering
Civil
Structural Engineering
Electrical
Computer Science
Dynamic Neural Networks With Hybrid Structures for Nonlinear System Identification
Engineering Applications of Artificial Intelligence
Control
Systems Engineering
Electrical
Artificial Intelligence
Electronic Engineering
Recursive System Identification by Stochastic Approximation
Communications in Information and Systems
Constructive Estimation of Approximation for Trigonometric Neural Networks
International Journal of Wavelets, Multiresolution and Information Processing
Applied Mathematics
Information Systems
Signal Processing
The Automatic Model Selection and Variable Width RBF Neural Networks for Chaotic Time Series Prediction
DEStech Transactions on Computer Science and Engineering
