Toroidal Approximate Identity Neural Networks Are Universal Approximators-Reference-Cited by-同舟云学术

Toroidal Approximate Identity Neural Networks Are Universal Approximators

Published:2014 Issue: Volume: Page:135-142
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Fard Saeed Panahian,Zainuddin Zarita

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-12637-1_17

Reference18 articles.

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2. Taylor, C.C., Mardia, K.V., Marzio, M.D., Panzera, A.: Validating protein structure using kernel density estimates. Journal of Applied Statistics 39, 2379–2388 (2012)

3. Potts, D.: Approximation of scattered data by trigonometric polynomials on the torus and the 2-sphere. Advances in Computational Mathematics 21, 21–36 (2004)

4. Kushpel, A., Grandison, C., Ha, M.D.: Optimal sk-splines approximation and reconstruction on the torus and sphere. International Journal of Pure and Applied Mathematics 29, 469–490 (2006)

5. CCIS;J. Nong,2012

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