Title :
Inverse estimation of distributed generation by complex-valued network inversion
Author :
Ogawa, Takehiko ; Fukami, Seisho ; Kanada, Hajime
Author_Institution :
Grad. Sch. of Eng., Takushoku Univ., Tokyo, Japan
Abstract :
The network inversion has been studied as a neural network based solution of inverse problems. As the extension of the network inversion to complex numbers, the complex-valued network inversion was proposed. On the other hands, it is an inverse problem to estimate the distributed generation parameters from a number of observed electric circuit data. Also, it is necessary to handle the complex number in the AC circuit. In this paper, we propose to apply the complex-valued network inversion to the inverse estimation of the distributed generation.
Keywords :
complex networks; estimation theory; inverse problems; neural nets; AC circuit; complex numbers; complex-valued network inversion; distributed generation; electric circuit data; inverse estimation; inverse problems; neural network; Artificial neural networks; Distributed power generation; Estimation; Inverse problems; Nonhomogeneous media; Power supplies; Training; complex numbers; distributed generation; inverse problems; network inversion; neural networks;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
