Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method

IEEE Access

Volumn 4, Issue , 2016, Pages 5937-5947

  Zhang, Yu Dong ^a,j   Chen, Xian Qing ^b   Zhan, Tian Ming ^c   Jiao, Zhu Qing ^d   Sun, Yi ^e   Chen, Zhi Min ^f   Yao, Yu ^g   Fang, Lan Ting ^h   Lv, Yi Ding ⁱ   Wang, Shui Hua ^a  

^a NANJING NORMAL UNIVERSITY   (China)

^b ZHEJIANG NORMAL UNIVERSITY   (China)

^c NANJING AUDIT UNIVERSITY   (China)

^d CHANGZHOU UNIVERSITY   (China)

^e BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^f SHANGHAI DIANJI UNIVERSITY   (China)

^g EAST CHINA JIAOTONG UNIVERSITY   (China)

^h SOUTHEAST UNIVERSITY   (China)

ⁱ NANJING MEDICAL UNIVERSITY   (China)

^j Hunan Policy Academy   (China)

more..

Author keywords

artificial bee colony; genetic algorithm; K fold cross validation; logistic map; Minkowski Bouligand dimension; number of hidden neuron

Indexed keywords

CHAOS THEORY; FEEDFORWARD NEURAL NETWORKS; GENETIC ALGORITHMS; NETWORK LAYERS; PARTICLE SWARM OPTIMIZATION (PSO);

ARTIFICIAL BEE COLONIES; K FOLD CROSS VALIDATIONS; LOGISTIC MAPS; MINKOWSKI; NUMBER OF HIDDEN NEURONS;

FRACTAL DIMENSION;

EID: 84994432462     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2016.2611530     Document Type: Article

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