Title :
The probability characteristic of function approximation based on artificial neural network
Author_Institution :
Dept. of Control Sci. & Eng., Hubei Normal Univ., Huangshi, China
Abstract :
In this paper, a desirable BP neural network is established for function approximation, and three kinds of concrete function is approximated by the network. The better cases for function approximation is presented, and for one-variable polynomial function, a probability characteristic for successful approximation is brought forward, which reflects the relationship between the number of neurons and the probability of successful function approximation.
Keywords :
backpropagation; function approximation; neural nets; probability; BP neural network; artificial neural network; function approximation; one-variable polynomial function; probability characteristic; Artificial neural networks; Statistical analysis; artificial neural network; back-propagation; function approximation; probability characteristic;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619172
