Neural network approach to modelling the behaviour of quantum tunneling composites as multifunctional sensors

Smart Materials and Structures

Volumn 19, Issue 12, 2010, Pages

  Lantada, Andrés Díaz ^a   Morgado, Pilar Lafont ^a   Otero, Javier Echavarri ^a   Munoz Guijosa, Juan Manuel ^a   Muñoz Sanz, José Luis ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL EQUATIONS; ANALYTICAL MODEL; CONDUCTING TESTS; ELASTOMERIC POLYMER; ELECTRICAL RESISTANCES; MATRIX; METAL PARTICLE; MODELLING AND SIMULATIONS; MULTIFUNCTIONAL SENSORS; NEURAL MODELS; NON-LINEARITY; OPERATING CONDITION; PRACTICAL USE; PRESSURE AND TEMPERATURE; QUANTUM TUNNELING; QUANTUM TUNNELLING; THERMO-MECHANICAL EFFECTS;

COMPUTER SIMULATION; ELECTRON TUNNELING; MATHEMATICAL MODELS; METALLIC MATRIX COMPOSITES; PARTICLES (PARTICULATE MATTER); POLYMER MATRIX COMPOSITES;

NEURAL NETWORKS;

EID: 78649938118     PISSN: 09641726     EISSN: 1361665X     Source Type: Journal    
DOI: 10.1088/0964-1726/19/12/125007     Document Type: Article

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