AI Research

Multi-Column RBF Neural Network Using Adaptive and Non-Adaptive Particle Swarm Optimization

Medium Severity Global
Date Occurred Jun 03, 2026 17:53 UTC
Event Type AI Research
Source arXiv
Recorded Jun 04, 2026
Full Description

arXiv: Multi-Column RBF Neural Network Using Adaptive and Non-Adaptive Particle Swarm Optimization The radial basis function neural network (RBFN) trained with a gradient descending algorithm provides an effective fully connected structure in both shallow and deep networks. The error correction (ErrCor), a state-of-the-art gradient-based training method, selects optimal hidden units to improve accuracy. Alternatively, as a population-based algorithm, the particle swarm optimization algorithm (PSO) uses the swarm experience to optimize RBFN parameters, offering global search and robustness to

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Event Metadata
  • ID #5849
  • Type AI Research
  • Region Global
  • Severity Medium
  • Indexed Jun 04, 2026