Thermochromic sensor design based on Fe(II) spin crossover/polymers hybrid materials and artificial neural networks as a tool in modelling

Sensors and Actuators, B: Chemical

Volumn 208, Issue , 2015, Pages 180-187

  Cuéllar, Manuel Pegalajar ^a   Lapresta Fernández, Alejandro ^a   Herrera, Juan Manuel ^b   Salinas Castillo, Alfonso ^a   Pegalajar, María Del Carmen ^a   Titos Padilla, Silvia ^b   Colacio, Enrique ^b   Capitán Vallvey, Luis Fermín ^a  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Artificial neural networks; Multi objective optimization; Spin crossover material; Temperature monitoring; Thermochromic sensor

Indexed keywords

COLORIMETRY; EVOLUTIONARY ALGORITHMS; HYBRID MATERIALS; IRON COMPOUNDS; LEARNING SYSTEMS; MULTIOBJECTIVE OPTIMIZATION; POLYVINYL CHLORIDES; TEMPERATURE DISTRIBUTION; TEMPERATURE SENSORS;

MACHINE LEARNING TECHNIQUES; MULTI-OBJECTIVE EVOLUTIONARY; MULTI-OBJECTIVE OPTIMIZATION TECHNIQUES; PHOTOGRAPHIC DIGITAL CAMERAS; SPIN CROSSOVER MATERIALS; TEMPERATURE ESTIMATION; TEMPERATURE MONITORING; THERMO-CHROMIC;

NEURAL NETWORKS;

EID: 84911934705     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2014.11.025     Document Type: Article

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