Application of self-learning evolutionary algorithm for optimal design of a porous polymethylmethacrylate scaffold fabricated by laser drilling process

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Volumn 227, Issue 3, 2013, Pages 211-224

  Rahmani Monfared, Keyvan ^a   Fathi, Alireza ^a   Mozaffari, Ahmad ^a   Rabiee, Sayed Mahmood ^a  

^a BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

adaptive neuro fuzzy inference system; engineering optimization; laser drilling; Scaffold; self learning evolutionary algorithm

Indexed keywords

CONFORMAL MAPPING; ECONOMIC AND SOCIAL EFFECTS; EVOLUTIONARY ALGORITHMS; FABRICATION; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; INFILL DRILLING; MECHANICAL PROPERTIES; OPTIMAL SYSTEMS; POLYESTERS; PORE SIZE; SCAFFOLDS; SCAFFOLDS (BIOLOGY); SCANNING ELECTRON MICROSCOPY; SELF ORGANIZING MAPS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; BIOMECHANICAL PROPERTIES; ENGINEERING OPTIMIZATION; LASER DRILLING; OPERATIONAL PROPERTIES; OPTIMIZATION ALGORITHMS; SCANNING ELECTRON MICROSCOPY IMAGE; SELF-LEARNING;

LEARNING ALGORITHMS;

EID: 84884195218     PISSN: 09544089     EISSN: None     Source Type: Journal    
DOI: 10.1177/0954408912459302     Document Type: Article

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