Identification of biological systems with Hopfield neural networks

• Grant number: 11/13232-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2011
• End date: August 31, 2012
• Field of knowledge: Engineering - Electrical Engineering
• Principal Investigator: Erica Regina Marani Daruichi Machado
• Grantee: Rafael de Paula Camata
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil

Abstract

The objective of the project is the scientific studies of programming techniques and simulation, control systems and artificial neural networks. It is proposed that implementation of algorithms for identification of Hopfield neural networks, using the Matlab / Simulink. The student will perform studies of systems modeling, transfer functions, parametric identification methods and artificial neural networks, in particular, the Hopfield neural networks and the tools of Toolbox Control of the Matlab / Simulink. The motivation of the studies is the identification of parametric models of biological systems Junction Knee Joint Leg-Foot. The results of this work may be used by research groups of Instrumentation and Control Department of Electrical Engineering in the development of a system of electro-stimulation to generate functional movements of lower limbs in paraplegic patients, with routine monitoring of treatment progress. (AU)