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journal of intelligent manufacturing
  
سال:2018 - دوره:29 - شماره:8
  
 
A comparison of machine learning methods for cutting parameters prediction in high speed turning process
- صفحه:1683-1693
  
 
A heuristic optimization algorithm for HMM based on SA and EM in machinery diagnosis
- صفحه:1845-1857
  
 
A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition
- صفحه:1773-1792
  
 
A new method of reusing the manufacturing information for the slightly changed 3D CAD model
- صفحه:1827-1844
  
 
A novel inverted fuzzy decoupling scheme for MIMO systems with disturbance: a case study of binary distillation column
- صفحه:1859-1871
  
 
A sensor fusion and support vector machine based approach for recognition of complex machining conditions
- صفحه:1739-1752
  
 
An ACO-based hyperheuristic with dynamic decision blocks for intercell scheduling
- صفحه:1905-1921
  
 
Automatic microstructural characterization and classification using probabilistic neural network on ultrasound signals
- صفحه:1923-1940
  
 
Capacity planning with ant colony optimization for TFT-LCD array manufacturing
- صفحه:1695-1713
  
 
Erratum to: Modeling preventive maintenance of manufacturing processes with probabilistic Boolean networks with interventions
- صفحه:1953-1953
  
 
Modeling preventive maintenance of manufacturing processes with probabilistic Boolean networks with interventions
- صفحه:1941-1952
  
 
Multi-objective optimization of machining and micro-machining processes using non-dominated sorting teaching–learning-based optimization algorithm
- صفحه:1715-1737
  
 
On-line fault diagnosis of FMS based on flows analysis
- صفحه:1891-1904
  
 
Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam
- صفحه:1793-1801
  
 
Risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and grey relational analysis
- صفحه:1803-1825
  
 
The (p, q, r, l) model for stochastic demand under Intuitionistic fuzzy aggregation with Bonferroni mean
- صفحه:1753-1771
  
 
Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model
- صفحه:1873-1890
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