Optimization of plastic injection molding process via taguchi's parameter design method, BPNN, and DFP

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 6, Issue , 2008, Pages 3315-3321

  Chen, W C ^a   Wang, M W ^b   Fu, G L ^a   Chen, C T ^c  

^a CHUNG HUA UNIVERSITY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^c TA HWA INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Back propagation neural networks; Davidon fletcher powell method; Plastic injection molding; Taguchi's parameter design

Indexed keywords

BACKPROPAGATION; BRIDGE PIERS; COMPETITION; CONTROL SYSTEM ANALYSIS; CONTROL THEORY; CYBERNETICS; DESIGN; EXPERIMENTS; INJECTION MOLDING; LEARNING SYSTEMS; MACHINE DESIGN; MOLDING; MOLDS; OPTIMIZATION; PARAMETER ESTIMATION; PLASTIC MOLDS; QUALITY CONTROL; RESEARCH LABORATORIES; ROBOT LEARNING; STRUCTURAL OPTIMIZATION;

BACK-PROPAGATION NEURAL NETWORKS; COMPETITIVE ADVANTAGES; CONTROL PARAMETERS; DAVIDON-FLETCHER-POWELL METHOD; ERROR PROCESSES; EXPERIMENTAL DATUMS; INITIAL PROCESSES; OPTIMAL PROCESS PARAMETERS; ORTHOGONAL ARRAYS; PARAMETER DESIGN METHODS; PLASTIC INJECTION MOLDING; PROCESS PARAMETER OPTIMIZATIONS; PROCESS PARAMETERS; PRODUCT QUALITIES; PRODUCT WEIGHTS; SHORT-COMINGS; SINGLE PRODUCTS; TAGUCHI PARAMETER DESIGNS; TAGUCHI'S PARAMETER DESIGN; TEST CYCLES; TRAINING AND TESTING;

NEURAL NETWORKS;

EID: 57849109077     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4620978     Document Type: Conference Paper

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