B-spline neural network design using improved differential evolution for identification of an experimental nonlinear process

Applied Soft Computing Journal

Volumn 8, Issue 4, 2008, Pages 1513-1522

  dos Santos Coelho, Leandro ^a   Guerra, Fabio A ^b  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^b Institute of Technology for Development   (Brazil)

Author keywords

B spline; Chaotic sequences; Differential evolution; Neural network

Indexed keywords

CHAOTIC SYSTEMS; CHLORINE COMPOUNDS; DIGITAL ARITHMETIC; EVOLUTIONARY ALGORITHMS; GRADIENT METHODS; IMAGE CLASSIFICATION; MOTION CONTROL; NEURAL NETWORKS; POPULATION STATISTICS; PROCESS ENGINEERING; SPLINES; WEIGHT CONTROL;

B-SPLINE; B-SPLINE NEURAL NETWORKS; BASIS FUNCTIONS; CHAOTIC SEQUENCES; COMPLEX BEHAVIOR; CONTROL POINTS; DETERMINISTIC SYSTEMS; DIFFERENTIAL EVOLUTION; EVOLUTIONARY COMPUTATION; GRADIENT-BASED METHODS; GRADIENT-BASED OPTIMIZATION METHODS; LEARNING PROCEDURES; LOCAL MINIMUMS; LOGISTIC MAPPING; MOTION CONTROL SYSTEMS; NEURAL NETWORK; NON-LINEAR IDENTIFICATION; NON-LINEAR PROCESSING; NUMERICA L RESULTS; PREMATURE CONVERGENCE; RANDOM SEQUENCING; STOCHASTIC SEARCH;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 50349087092     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2007.10.015     Document Type: Article

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