Title :
The Effective Numerical Integration Method for Oscillating Functions
Author_Institution :
Coll. of Math. & Comput. Sci., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
Aiming at the numerical integration of oscillating functions, a method based on the neural network with trigonometric functions is proposed in this paper. The author uses the trigonometric function acting as the activation function of neural network, and uses the output of neural network approximate to the oscillating function. The example has shown that the method proposed is effective and has high precise.
Keywords :
integration; mathematics computing; neural nets; numerical analysis; activation function; neural network; numerical integration method; oscillating function; trigonometric function; Automation; Computer networks; Convergence; Electronic mail; Intelligent networks; Mathematics; Neural networks; Neurons; Numerical models; Physics; neural network; oscillating function; trigonometric function;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.878
