Online sequential extreme learning machine with generalized regularization and adaptive forgetting factor for time-varying system prediction

DOI10.1155/2018/6195387zbMath1428.62381OpenAlexW2805971520WikidataQ129736642 ScholiaQ129736642MaRDI QIDQ1721188

Wei Guo, Tao Xu, Jianjiang Yu, Keming Tang, Shuangshuang Chen

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/6195387

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Non-Markovian processes: estimation (62M09) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

CRPS Learning

Cites Work

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• Statistical properties of support vector machines with forgetting factor
• Recentness biased learning for time series forecasting
• One-pass online learning: a local approach
• Low-Complexity Variable Forgetting Factor Mechanism for Blind Adaptive Constrained Constant Modulus Algorithms
• Gradient-based variable forgetting factor RLS algorithm in time-varying environments

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