Convergence of solutions to equations arising in neural networks
- Author
- LEIZAROWITZ, A1
[1] Department of Mathematics, Technion-Israel Institute of Technology, Haifa, Israel - Source
Journal of optimization theory and applications. 1997, Vol 94, Num 3, pp 533-560 ; ref : 12 ref
- CODEN
- JOTABN
- ISSN
- 0022-3239
- Scientific domain
- Control theory, operational research; Computer science
- Publisher
- Springer, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Boucle réaction Commande optimale Convergence Equation différentielle Equation non linéaire Equation polynomiale Réseau neuronal
- Keyword (en)
- Feedback Optimal control Convergence Differential equation Non linear equation Polynomial equation Neural network
- Keyword (es)
- Retroalimentación Control óptimo Convergencia Ecuación diferencial Ecuación no lineal Ecuación polinomial Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00B Mathematical methods in physics / 001B00B30 Function theory, analysis / 001B00B30H Ordinary differential equations
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D08 Optimal control
- Discipline
- Computer science : theoretical automation and systems Mathematics Theoretical physics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 2828140
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1023/A:1022633615273 
https://dx.doi.org/10.1023/A:1022633615273
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