79634 20200716101445.0 doi 10.3390/s19081814 sideral 112236 ART-2019-112236 eng Martinez-Nieto, Javier Alejandro High-level modeling and simulation tool for sensor conditioning circuit based on artificial neural networks 2019 Access copy available to the general public Unrestricted For current microelectronic integrated systems, the design methodology involves different steps that end up in the full system simulation by means of electrical and physical models prior to its manufacture. However, the higher the circuit complexity, the more time is required to complete these simulations, jeopardizing the convergence of the numerical methods and, hence, meaning that the reliability of the results are not guaranteed. This paper shows the use of a high-level tool based on Matlab to simulate the operation of an artificial neural network implemented in a mixed analog-digital CMOS process, intended for sensor calibration purposes. The proposed standard tool enables modification of the neural model architecture to adapt its characteristics to those of the electronic system, resulting in accurate behavioral models that predict the complete microelectronic IC system behavior under different operation conditions before its physical implementation with a simple, time-efficient, and reliable solution. info:eu-repo/grantAgreement/ES/MINECO-FEDER/TEC2015-65750-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.275 2019 CHEMISTRY, ANALYTICAL 22 / 86 = 0.256 2019 Q2 T1 INSTRUMENTS & INSTRUMENTATION 15 / 64 = 0.234 2019 Q1 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 77 / 266 = 0.289 2019 Q2 T1 0.653 2019 Instrumentation 2019 Q1 Atomic and Molecular Physics, and Optics 2019 Q2 Medicine (miscellaneous) 2019 Q2 Information Systems 2019 Q2 Analytical Chemistry 2019 Q2 Electrical and Electronic Engineering 2019 Q2 Biochemistry 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-5380-3013 Medrano-Marques, Nicolás Universidad de Zaragoza Sanz-Pascual, María Teresa (orcid)0000-0003-2361-1077 Calvo-Lopez, Belén Universidad de Zaragoza 5008 250 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Electrónica 19, 8 (2019), [25 pp.] Sensors Sensors (Switzerland) 1424-8220 7055137 http://zaguan.unizar.es/record/79634/files/texto_completo.pdf Versión publicada 105782 http://zaguan.unizar.es/record/79634/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:79634 articulos driver 2020-07-16-09:02:40 ARTICLE