Power series neural network solution for ordinary differential equations with initial conditions

Differential equations are very common in most academic fields. Modern digital control systems require fast on line and sometimes time varying solution schemes for differential equations. This paper presents new nonlinear adaptive numeric solutions for ordinary differential equations (ODE) with init...

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Vydané v:	2015 International Conference on Communications, Signal Processing, and their Applications (ICCSPA'15) s. 1 - 5
Hlavní autori:	Haweel, Tarek I., Abdelhameed, Tarek N.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2015
Predmet:	Artificial neural networks Least squares approximations Mathematical model Neural network Ordinary differential equations Power series Signed LMS adaptive algorithm Splines (mathematics) Transfer functions
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