Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios

DOI10.1016/J.PATCOG.2012.05.009zbMath1248.68412DBLPjournals/pr/Martinez-RegoFA12OpenAlexW1969332978WikidataQ58036735 ScholiaQ58036735MaRDI QIDQ454450

Oscar Fontenla-Romero, David Martínez-Rego, Amparo Alonso-Betanzos

Publication date: 5 October 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.05.009

zbMATH Keywords

artificial neural networksincremental learningdistributed learningnonstationary learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Distributed cooperative learning over time-varying random networks using a gossip-based communication protocol ⋮ Training a multilayer network with low-memory kernel-and-range projection

Uses Software

• UCI-ml
• PRMLT

Cites Work

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• A new convex objective function for the supervised learning of single-layer neural networks
• Array-Based QR-RLS Multichannel Lattice Filtering
• Deterministic Nonperiodic Flow
• Oscillation and Chaos in Physiological Control Systems
• A Collaborative Training Algorithm for Distributed Learning
• Gradient-based variable forgetting factor RLS algorithm in time-varying environments

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