Simple deterministically constructed recurrent neural networks

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

Volumn 6283 LNCS, Issue , 2010, Pages 267-274

  Rodan, Ali ^a   Tiňo, Peter ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Echo state networks; Memory capability; Recurrent neural networks; Time series prediction

Indexed keywords

BLACK BOXES; DYNAMICAL PROPERTIES; ECHO STATE NETWORKS; INPUT STREAMS; MEMORY CAPABILITIES; MEMORY CAPACITY; RANDOMIZED MODELS; RESERVOIR COMPUTING; STATE SPACE; STATE SPACE APPROACH; STATE SPACE FORMULATION; STATE TRANSITIONS; THEORETICAL INVESTIGATIONS; THEORETICAL LIMITS; TIME SERIES PREDICTION; TRANSITION FUNCTIONS;

ENGINEERING EDUCATION; FORECASTING; STATE SPACE METHODS; TIME SERIES; TIME SERIES ANALYSIS;

RECURRENT NEURAL NETWORKS;

EID: 78049381894     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15381-5_33     Document Type: Conference Paper

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