Efficient diagnosis system for Parkinson's disease using deep belief network

2016 IEEE Congress on Evolutionary Computation, CEC 2016

Volumn , Issue , 2016, Pages 1324-1330

  Al Fatlawi, Ali H ^a   Jabardi, Mohammed H ^a   Ling, Sai Ho ^b  

^a UNIVERSITY OF KUFA   (Iraq)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Deep Belief Network; Parkinson's disease; Restricted Boltzmann Machine

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; FEATURE EXTRACTION; NEURODEGENERATIVE DISEASES; SPEECH COMMUNICATION; TEMPLATE MATCHING;

DEEP BELIEF NETWORK (DBN); DEEP BELIEF NETWORKS; DIAGNOSIS SYSTEMS; INITIAL WEIGHTS; PARKINSON'S DISEASE; RESTRICTED BOLTZMANN MACHINE; SPEECH SIGNALS; TESTING ACCURACY;

DIAGNOSIS;

EID: 85008256518     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2016.7743941     Document Type: Conference Paper

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