Neural modelling of the semantic predictability gain under challenging listening conditions

Anna Uta Rysop; Lea‐Maria Schmitt; Jonas Obleser; Gesa Hartwigsen

doi:10.1002/hbm.25208

Neural modelling of the semantic predictability gain under challenging listening conditions

Human Brain Mapping ◽

10.1002/hbm.25208 ◽

2020 ◽

Vol 42 (1) ◽

pp. 110-127 ◽

Cited By ~ 1

Author(s):

Anna Uta Rysop ◽

Lea‐Maria Schmitt ◽

Jonas Obleser ◽

Gesa Hartwigsen

Keyword(s):

Neural Modelling

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Neural Modelling of the Biodegradability of Benzene Derivatives

SAR and QSAR in Environmental Research ◽

10.1080/10629369308028827 ◽

1993 ◽

Vol 1 (2-3) ◽

pp. 161-167 ◽

Cited By ~ 17

Author(s):

J. Devillers

Keyword(s):

Benzene Derivatives ◽

Neural Modelling

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Application of neural modelling in hybrid control model of fluidized bed boiler fired with coal and biomass

Proceedings of the 13th International Carpathian Control Conference (ICCC) ◽

10.1109/carpathiancc.2012.6228618 ◽

2012 ◽

Cited By ~ 2

Author(s):

Michal Budnik ◽

Wojciech Stanek ◽

Henryk Rusinowski

Keyword(s):

Fluidized Bed ◽

Hybrid Control ◽

Control Model ◽

Neural Modelling

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A new self-learning TLBO algorithm for RBF neural modelling of batteries in electric vehicles

2014 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2014.6900428 ◽

2014 ◽

Cited By ~ 12

Author(s):

Zhile Yang ◽

Kang Li ◽

Aoife Foley ◽

Cheng Zhang

Keyword(s):

Electric Vehicles ◽

Tlbo Algorithm ◽

Neural Modelling ◽

Self Learning

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Neural modelling, control and optimisation of an industrial grinding process

Control Engineering Practice ◽

10.1016/j.conengprac.2004.11.006 ◽

2005 ◽

Vol 13 (10) ◽

pp. 1243-1258 ◽

Cited By ~ 39

Author(s):

James J. Govindhasamy ◽

Seán F. McLoone ◽

George W. Irwin ◽

John J. French ◽

Richard P. Doyle

Keyword(s):

Grinding Process ◽

Neural Modelling

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