Novel Neural Network and Its Application in Hysteresis Modeling

Author

An, Xiaoran ; Xu, Meng

Author_Institution

Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China

fYear

2010

fDate

15-16 May 2010

Firstpage

203

Lastpage

205

Abstract

A novel neural network with chaotic property is proposed. The network is composed by different neurons. Some activation function is chaotic iterative function instead of the conventional Sigmoid function. In the process of learning, taking advantage of the randomicity property and ergodicity property of chaos, the generalization capability and the optimizing efficiency can be improved. The simulation results prove the validity of the algorithm.

Keywords

chaos; generalisation (artificial intelligence); hysteresis; iterative methods; learning (artificial intelligence); neural nets; optimisation; random processes; transfer functions; activation function; chaotic iterative function; chaotic property; conventional Sigmoid function; ergodicity property; generalization capability; hysteresis modeling; learning; neural network; optimizing efficiency; randomicity property; Artificial neural networks; Chaos; History; Hysteresis; Neurons; Noise; Training; chaos; hysteresis modeling; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling, Simulation and Visualization Methods (WMSVM), 2010 Second International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-7077-8

Electronic_ISBN

978-1-4244-7078-5

Type

conf

DOI

10.1109/WMSVM.2010.56

Filename

5558322