Application of BP artificial neural networks in modelling energy obtained by wave energy system

Author

Ying, Zhang ; Mengxin, Li ; Zaili, Dong

Author_Institution

Inf. & Control Eng. Fac., Shenyang Jianzhu Univ., Shenyang, China

Volume

4

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

145

Lastpage

149

Abstract

As one of the renewable energy, the absorption and utilization of wave energy is always an important research field home and abroad, and energy absorption efficiency is the key. A wave energy absorption system based on inertial pendulum is presented, and dynamics equations are established. Artificial Neural network with learning rate adaptation is adopted to model in time domain. The results obtained by simulation software and by BP neural network are compared, which validate the method used to be correct and make basis on future research.

Keywords

artificial intelligence; backpropagation; neural nets; power engineering computing; renewable energy sources; wave power generation; BP artificial neural networks; inertial pendulum; renewable energy; wave energy absorption system; Absorption; Artificial neural networks; Electronic mail; Equations; Marine technology; Mathematical model; Oceans; Power supplies; Renewable energy resources; Vehicle dynamics; BP network with learning rate adaptation; Capture width ratio; Energy absorption efficiency; Inertial pendulum; Wave energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357727

Filename

5357727