Input and output mapping sensitive auto-associative multilayer perceptron for computer interface system based on image processing of laser pointer spot

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

Volumn 6444 LNCS, Issue PART 2, 2010, Pages 185-192

  Jung, Chanwoong ^a   Ban, Sang Woo ^b   Jeong, Sungmoon ^a   Lee, Minho ^a  

^a Kyungpook National University   (South Korea)

^b Dongguk University   (South Korea)

Author keywords

Auto associative multilayer perceptron; computer interface using a laser pointer; input and output mapping sensitivity; laser pointer detection

Indexed keywords

COMPUTER INTERFACES; DYNAMIC INTERACTION; ERROR BACK PROPAGATION; GRADIENT DESCENT METHOD; INPUT AND OUTPUTS; INPUT FEATURES; INPUT-OUTPUT MAPPING; LASER POINTER; LASER POINTER DETECTION; LASER SPOTS; MULTI LAYER PERCEPTRON; NEURAL NETWORK MODEL; OBJECTIVE FUNCTIONS; REAL APPLICATIONS; SMALL VARIATIONS; WEIGHT UPDATE;

ASSOCIATIVE PROCESSING; HIGH PASS FILTERS; IMAGE PROCESSING; INTERACTIVE COMPUTER SYSTEMS; LEARNING ALGORITHMS; MAPPING; MULTILAYERS; NEURAL NETWORKS; OPTICAL PROJECTORS; SENSITIVITY ANALYSIS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; LASER APPLICATIONS;

INTERFACES (COMPUTER); ASSOCIATIVE PROCESSING;

EID: 78650223337     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17534-3_23     Document Type: Conference Paper

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