Development of a hybrid neural network system for prediction of process parameters in injection moulding

Journal of Materials Processing Technology

Volumn 118, Issue 1-3, 2001, Pages 109-115

  Yarlagadda, P K D V ^a   Khong, C A T ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Artificial intelligence; Back propagation algorithm; Hybrid neural networks; Injection moulding

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; COMPUTER SOFTWARE; FILLING; NEURAL NETWORKS;

BACK PROPAGATION ALGORITHM;

INJECTION MOLDING;

EID: 0035803626     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0924-0136(01)00901-3     Document Type: Conference Paper

References (11)

1. Simulation of mould filling for powder injection molding processes
2. Numerical simulation of fiber orientation in injection mold filling
3. An intelligent system for plastic injection moulding process design
4. Neural network approach to flow stress evaluation in hot deformation
5. Artificial intelligent neural network system for pressure die-casting