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Hybrid ANFIS-Rao algorithm for surface roughness modelling and optimization in electrical discharge machining
N. Agarwal, N. Shrivastava, M. K. Pradhan
Izvirni znanstveni članek
Oznake: elektroerozijska obdelava;titanove zlitine;hrapavost površine;modeliranje;optimizacija;umetne nevronske mreže;adaptivni nevromehki sistem sklepanja;Raov algoritem;Jayev algoritem;electrical-discharge machining (EDM);Titanium alloy;surface roughness;modelling;optimization;artificial neural networks (ANN);adaptive neuro fuzzy inference system (ANFIS);Rao algorithm;Jaya algorithm;
Advanced modeling and optimization techniques are imperative today to deal with complex machining processes like electric discharge machining (EDM). In the present research, Titanium alloy has been machined by considering different electrical input parameters to evaluate one of the important surface ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Constrained Semi-Supervised Learning using Attributes and Comparative Attributes
Abhinav Shrivastava , Antonio Torralba , Stefan Carlsson
Video in druga učna gradiva
Oznake: computer science;computer vision;machine learning;semi-supervised learning
We consider the problem of semi-supervised bootstrap learning for scene categorization. Existing semi-supervised approaches are typically unreliable and face semantic drift because the learning task is under-constrained. This is primarily because they ignore the strong interactions that often exist ...
Leto: 2012 Vir: videolectures.net
Št. zadetkov: 2
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