Approximation of multi-parametric functions using the differential polynomial neural network

DOI10.1186/2251-7456-7-33zbMath1372.68228OpenAlexW2144134124WikidataQ59299591 ScholiaQ59299591MaRDI QIDQ405445

Ladislav Zjavka

Publication date: 5 September 2014

Published in: Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/2251-7456-7-33

zbMATH Keywords

data relationsmulti-parametric function approximationpartial differential equation constructionpolynomial neural networksum derivative term

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) PDEs in connection with computer science (35Q68)

Related Items (2)

The fractional differential polynomial neural network for approximation of functions ⋮ Constructing general partial differential equations using polynomial and neural networks

Cites Work

• Adaptive Learning of Polynomial Networks
• Noisy time series prediction using recurrent neural networks and grammatical inference

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