A PSO-SVM method for parameters and sensor array optimization in wound infection detection based on electronic nose

Journal of Computers (Finland)

Volumn 7, Issue 11, 2012, Pages 2663-2670

  Yan, Jia ^a   Tian, Fengchun ^a   Feng, Jingwei ^a   Jia, Pengfei ^a   He, Qinghua ^b   Shen, Yue ^b  

^a CHONGQING UNIVERSITY   (China)

^b THIRD MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Electronic nose; Parameters optimization; Particle swarm optimization; Sensor array optimization; Support vector machine; Wound infection

Indexed keywords

ARRAY OPTIMIZATION; CLASSIFICATION ACCURACY; ELECTRONIC NOSE; ELECTRONIC NOSE (E-NOSE); IMPORTANCE FACTORS; OPTIMIZATION OF SENSOR ARRAYS; PARAMETERS OPTIMIZATION; PARAMETERS SELECTION; RADICAL BASIS FUNCTIONS; SENSOR SIGNALS; SVM MODEL; WOUND INFECTION;

GENETIC ALGORITHMS; SENSORS; SIGNAL DETECTION; SUPPORT VECTOR MACHINES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84869817980     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.7.11.2663-2670     Document Type: Article

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