Using AdaBoost-based Multiple Functional Neural Fuzzy Classifiers Fusion for Classification Applications

Author： Jhang Jyun-Yu  

Publisher： Edp Sciences

E-ISSN： 2261-236x|201|issue|05004-05004

ISSN： 2261-236x

Source： MATEC Web of conference, Vol.201, Iss.issue, 2018-09, pp. : 05004-05004

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Research on Financial Early-warning based on GIHS Improved BP_AdaBoost Algorithm

By  

MATEC Web of conference, Vol. 173, Iss. issue, 2018-06 ,pp. : 03004-03004

Edp Sciences

Access to resources Recommend Favorite

Environmental sound classification based on feature fusion

By  

MATEC Web of conference, Vol. 173, Iss. issue, 2018-06 ,pp. : 03059-03059

Edp Sciences

Access to resources Recommend Favorite

Analysis of surface temperature characteristics of multiscale fusion based on convolution neural network

By  

MATEC Web of conference, Vol. 173, Iss. issue, 2018-06 ,pp. : 03011-03011

Edp Sciences

Access to resources Recommend Favorite

An approach of classification and parameters estimation, using neural network, for lubricant degradation diagnosis

By  

MATEC Web of conference, Vol. 184, Iss. issue, 2018-07 ,pp. : 03009-03009

Edp Sciences

Access to resources Recommend Favorite

Identification on rock and soil parameters for vibro-cutting rock by disc cutter based on fuzzy radial basis function neural network

By  

MATEC Web of conference, Vol. 175, Iss. issue, 2018-07 ,pp. : 03073-03073

Edp Sciences

Access to resources Recommend Favorite