Improving prediction models applied in systems monitoring natural hazards and machinery

DOI10.2478/v10006-012-0036-3zbMath1283.93043OpenAlexW1999386820MaRDI QIDQ5403381

Marek Sikora, Beata Sikora

Publication date: 26 March 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10006-012-0036-3

zbMATH Keywords

time series forecasting\(k\)-nearest neighborsnatural hazards monitoringregression rules

Mathematics Subject Classification ID

Stochastic systems in control theory (general) (93E03)

Uses Software

• itsmr
• C4.5
• ENDER
• RIONA

Cites Work

• Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
• Hypothesis-driven constructive induction in AQ17-HCI: A method and experiments
• Fuzzy and neuro-fuzzy intelligent systems
• Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems
• New support vector algorithms with parametric insensitive/margin model
• Modified support vector machines in financial time series forecasting
• On the quest for optimal rule learning heuristics
• Ensemble Neural Network Approach for Accurate Load Forecasting in a Power System
• Introduction to Time Series and Forecasting
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