Improved nonlinear PCA based on RBF networks and principal curves

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6328 LNCS, Issue PART 1, 2010, Pages 7-15

  Liu, Xueqin ^a   Li, Kang ^a   McAfee, Marion ^b   Deng, Jing ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b Atlantic Technological University   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

FAST RECURSIVE ALGORITHMS; HIDDEN LAYERS; NONLINEAR PCA; OPTIMAL TOPOLOGIES; OUTPUT LAYER; PRINCIPAL COMPONENTS; PRINCIPAL CURVE; RBF NETWORK; SIMULATION RESULT; THREE-LAYER; NEURAL NETWORK (NN);

COMPUTER SIMULATION; INTELLIGENT COMPUTING; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; TOPOLOGY; COMPLEX NETWORKS; ENERGY CONSERVATION; SUSTAINABLE DEVELOPMENT;

NETWORK LAYERS;

EID: 78649586262     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15621-2_2     Document Type: Conference Paper

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