Mathematical Foundations of Neural Network Theory
-
Burkhard Lenze
lenze@fh-dortmund.de
Downloads
Abstract
In the following paper, we present a brief and easily accessible general survey of the theory of neural networks under special emphasis on the róle of pure and applied mathematics in this interesting field of research.
Keywords
Similar Articles
- Goutam Haldar, Uniqueness of entire functions whose difference polynomials share a polynomial with finite weight , CUBO, A Mathematical Journal: Vol. 24 No. 1 (2022)
- Jairo Bochi, Godofredo Iommi, Mario Ponce, Perfect matchings in inhomogeneous random bipartite graphs in random environment , CUBO, A Mathematical Journal: Vol. 24 No. 2 (2022)
- René Erlín Castillo, Babar Sultan, A derivative-type operator and its application to the solvability of a nonlinear three point boundary value problem , CUBO, A Mathematical Journal: Vol. 24 No. 3 (2022)
- Bapurao C. Dhage, John R. Graef, Shyam B. Dhage, Existence, stability and global attractivity results for nonlinear Riemann-Liouville fractional differential equations , CUBO, A Mathematical Journal: Vol. 25 No. 1 (2023)
- Youssef N. Raffoul, Boundedness and stability in nonlinear systems of differential equations using a modified variation of parameters formula , CUBO, A Mathematical Journal: Vol. 25 No. 1 (2023)
- Khristo Boyadzhiev, Dirichlet series and series with Stirling numbers , CUBO, A Mathematical Journal: Vol. 25 No. 1 (2023)
- A. Zerki, K. Bachouche, K. Ait-Mahiout, Existence of solutions for higher order \(\phi-\)Laplacian BVPs on the half-line using a one-sided Nagumo condition with nonordered upper and lower solutions , CUBO, A Mathematical Journal: Vol. 25 No. 2 (2023)
- S. S. Dragomir, Several inequalities for an integral transform of positive operators in Hilbert spaces with applications , CUBO, A Mathematical Journal: Vol. 25 No. 2 (2023)
- Edoardo Ballico, Osculating varieties and their joins: \(\mathbb{P}^1\times \mathbb{P}^1\) , CUBO, A Mathematical Journal: Vol. 25 No. 2 (2023)
- Mahmoud Benkhalifa, Note on the \(F_{0}\)-spaces , CUBO, A Mathematical Journal: Vol. 25 No. 3 (2023)
<< < 36 37 38 39 40 41 42 43 44 45 > >>
You may also start an advanced similarity search for this article.
Downloads
Download data is not yet available.
Published
2001-01-01
How to Cite
[1]
B. Lenze, “Mathematical Foundations of Neural Network Theory”, CUBO, vol. 3, no. 1, pp. 196–217, Jan. 2001.
Issue
Section
Articles
