Constrained optimum surface roughness prediction in turning of X20Cr13 by coupling novel modified harmony search-based neural network and modified harmony search algorithm

International Journal of Advanced Manufacturing Technology

Volumn 58, Issue 1-4, 2012, Pages 93-107

  Zinati, Reza Farshbaf ^a   Razfar, Mohammad Reza ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Modified harmony search algorithm; Modified harmony search based neural network; Turning

Indexed keywords

CRITICAL VALUE; CUTTING CONDITIONS; CUTTING FORCES; EXPERIMENTAL DATA; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; GLOBAL SOLUTIONS; HARMONY SEARCH; HARMONY SEARCH ALGORITHMS; HIGH-QUALITY PRODUCTS; HS ALGORITHM; LONGITUDINAL TURNING; OPTIMAL CUTTING; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; PREDICTIVE MODELS; SEARCH-BASED;

FORECASTING; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; STAINLESS STEEL; TURNING;

SURFACE ROUGHNESS;

EID: 84855704742     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3393-4     Document Type: Article

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