Neural Network Approach to Modelling the Behaviour of Ionic Polymer-Metal Composites in Dry Environments

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ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org

"Neural Network Approach to Modelling the Behaviour of Ionic Polymer-Metal Composites in Dry Environments"
written by Andrés Díaz Lantada, Pilar Lafont Morgado, José Luis Muñoz Sanz, Juan Manuel Muñoz Guijosa, Javier Echávarri Otero,
published by Journal of Signal and Information Processing, Vol.3 No.2, 2012

has been cited by the following article(s):

[1]	Autonomous and objective characterisation of composite precursors in manufacturing
	2021

[2]	Adaptive observer-based control for an IPMC actuator under varying humidity conditions
	Smart Materials and Structures, 2018

[3]	Structural modeling of actuation of IPMC in dry environment: effect of water content and activity
	2017

[4]	Effect of various formulation ingredients on thermal characteristics of PVC/clay nanocomposite foams: experimental and modeling
	e-Polymers, 2016

[5]	A multiphysics model of IPMC actuators dependence on relative humidity
	Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International, 2015

[6]	Modelling and characterisation of ionic polymer metal composite (IPMC) transducers: From IPMC infancy to multiphysics modelling
	2015

[7]	Application of Ionic Polymer Metal Composite (IPMC) as Soft Actuators in Robotics and Bio-Mimetics

[1]	Adaptive observer-based control for an IPMC actuator under varying humidity conditions Smart Materials and Structures, 2018 DOI:10.1088/1361-665X/aab56e

[2]	Effect of various formulation ingredients on thermal characteristics of PVC/clay nanocomposite foams: experimental and modeling e-Polymers, 2017 DOI:10.1515/epoly-2016-0151

[3]	A multiphysics model of IPMC actuators dependence on relative humidity 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015 DOI:10.1109/I2MTC.2015.7151496

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