Title :
Neural network algorithm for solving triple integral
Author :
Yang, Jingli ; Du, Tingsong
Author_Institution :
Inst. of Nonlinear & Complex Syst., China Three Gorges Univ., Yichang, China
Abstract :
In this paper, according to the triple integral definition and the characteristic of common network topology, a new model and learning algorithm is proposed for the triple integral. This method randomly selects certain nodes on each direction of integral domain in the initial, then the weight of the neural network is optimized, finally the quite precise integral result is obtained. Example is provided to show the high accuracy and fast convergence rate of the proposed neural network.
Keywords :
learning (artificial intelligence); neural nets; optimisation; integral domain; network topology; neural network algorithm; solving triple integral; Accuracy; Algorithm design and analysis; Artificial neural networks; Computers; Convergence; Neurons; Numerical analysis; convergence; neural network; numerical integration; triple integral;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5582976
