DocumentCode
3115707
Title
Fourier Neural Network for machine learning
Author
Shuang Liu
Author_Institution
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
Volume
01
fYear
2013
fDate
14-17 July 2013
Firstpage
285
Lastpage
290
Abstract
In this paper, a Fourier Neural Network (FNN), which specializes in regression and classification tasks is introduced, together with its weights initializing and training algorithm. Experiments conducted on various datasets show that the proposed model converges much faster than Multilayer Perceptron (MLP) and has equally good predicting accuracy and generalization ability.
Keywords
Fourier analysis; data handling; learning (artificial intelligence); neural nets; pattern classification; regression analysis; FNN; Fourier neural network; MLP; datasets; machine learning; multilayer perceptron; pattern classification; regression analysis; Abstracts; Accuracy; Breast; Iris; Manganese; Neurons; Training; FNN; MLP; Supervised machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location
Tianjin
Type
conf
DOI
10.1109/ICMLC.2013.6890482
Filename
6890482
Link To Document