Unsupervised bird song syllable classification using evolving neural networks

Journal of the Acoustical Society of America

Volumn 123, Issue 6, 2008, Pages 4358-4368

  Ranjard, Louis ^a   Ross, Howard A ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; ENCODING (SYMBOLS); EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; METROPOLITAN AREA NETWORKS; NETWORK PROTOCOLS; NEURAL NETWORKS; POPULATION STATISTICS;

(MIN ,MAX ,+) FUNCTIONS; ACOUSTICAL SOCIETY OF AMERICA (ASA); AUTOMATIC METHODS; DISTANCE MEASURES; EVOLUTION (CO); EVOLVING NEURAL NETWORKS; IN ORDER; INDIVIDUAL (PSS 544-7); LARGE AMOUNTS OF DATA; LEARNING PROCESSES; NEUTRAL MODELLING; SELECTION PRESSURES; SPECTROGRAM; UNSUPERVISED CLASSIFICATION; VISUAL ANALYSIS;

MATHEMATICAL MODELS;

ALGORITHM; ARTICLE; CLASSIFICATION; EVOLUTION; LEARNING; MEASUREMENT; NERVE CELL NETWORK; NONHUMAN; PRIORITY JOURNAL; RECORDING; REPRODUCIBILITY; SIGNAL DETECTION; SONGBIRD; SOUND DETECTION; SOUND TRANSMISSION; SPARROW; VOCALIZATION;

ACOUSTICS; ANIMAL COMMUNICATION; ANIMALS; FINCHES; HUMANS; KNOWLEDGE; LEARNING; MEMORY; MUSIC; NERVE NET; VOCALIZATION, ANIMAL;

EID: 44949099381     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.2903861     Document Type: Article

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