Title :
Fourier Neural Network for machine learning
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890482
