Works in Journal of Intelligent Manufacturing, 2016, Vol 27, Issue 3
Results: 15
Real-time simulation of neural network classifications from characteristics emitted by acoustic emission during horizontal single grit scratch tests.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 507, doi. 10.1007/s10845-014-0883-x
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A quantitative estimation technique for welding quality using local mean decomposition and support vector machine.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 525, doi. 10.1007/s10845-014-0885-8
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A weighted-coupled network-based quality control method for improving key features in product manufacturing process.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 535, doi. 10.1007/s10845-014-0887-6
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Statistical modeling and optimization of resistance spot welding process parameters using neural networks and multi-objective genetic algorithm.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 549, doi. 10.1007/s10845-014-0891-x
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Process analytics formalism for decision guidance in sustainable manufacturing.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 561, doi. 10.1007/s10845-014-0892-9
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The preparation of organic light-emitting diode encapsulation barrier layer by low-temperature plasma-enhanced chemical vapor deposition: a study on the $$\hbox {SiO}_\mathrm{x}\hbox {N}_\mathrm{y}$$ film parameter optimization.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 581, doi. 10.1007/s10845-014-0893-8
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Machining activity extraction and energy attributes inheritance method to support intelligent energy estimation of machining process.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 595, doi. 10.1007/s10845-014-0894-7
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Decision-making in the manufacturing environment using a value-risk graph.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 617, doi. 10.1007/s10845-014-0895-6
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Multiobjective optimization of torch brazing process by a hybrid of fuzzy logic and multiobjective artificial bee colony algorithm.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 631, doi. 10.1007/s10845-014-0899-2
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Automated thermal fuse inspection using machine vision and artificial neural networks.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 639, doi. 10.1007/s10845-014-0902-y
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A multi-stage control chart pattern recognition scheme based on independent component analysis and support vector machine.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 653, doi. 10.1007/s10845-014-0903-x
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Improved prediction of stability lobes in milling process using time series analysis.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 665, doi. 10.1007/s10845-014-0904-9
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Branch-and-bound and PSO algorithms for no-wait job shop scheduling.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 679, doi. 10.1007/s10845-014-0906-7
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An intelligent neural-fuzzy model for an in-process surface roughness monitoring system in end milling operations.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 689, doi. 10.1007/s10845-014-0907-6
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An application of Hebbian learning in the design process decision-making.
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- Journal of Intelligent Manufacturing, 2016, v. 27, n. 3, p. 487, doi. 10.1007/s10845-014-0881-z
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