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Keyword [artificial neural networks]
Result: 181 - 200 | Page: 10 of 10
181. Artificial Intelligence-based Data Analytical Models For Materials Failure Cases And Corrosion Prediction
182. Coal Proximate Analysis Method Research And Equipment Development Based On Laser-induced Breakdown Spectroscopy
183. Studies On The Removal Of Hg And Se From Aqueous Solutions By Graphene-supported Iron-based Composites
184. Research On Vibration Effect And Thickness Detection:Application To Wire Electrical Discharge Machining
185. Prediction Of Die Roll Height Of Fine Blanking Component Based On BP Artificial Neural Networks
186. Study On Styrene Epoxidation Catalyst And Computer Aided Process Optimization
187. Research On Lamb Wave Structure Damage Degree Evaluation Method
188. Preparation And Properties Of 3D Printing Alumina Ceramic Slurries
189. Corrosion Resistance Characterization of Coating Systems Used to Protect Aluminum Alloys Using Electrochemical Impedance Spectroscopy and Artificial Neural Networks
190. In-process tool condition monitoring systems in CNC turning operations
191. Application of artificial neural networks to predict defect levels in wave soldering processes
192. First principles and artificial neural networks modeling of waste temperatures in a forced-aeration landfill bioreactor
193. Flavor analysis and reaction monitoring using surface acoustic wave microsensors and artificial neural networks
194. Prediction of sea ice concentration using artificial neural networks
195. A new approach for training and testing artificial neural networks for permeability prediction
196. Development of generalized two-phase (oil/gas) and three-phase relative permeability predictors using artificial neural networks
197. A novel method to three-dimensional-QSAR using genetically evolved molecular field data and artificial neural networks
198. Prediction of moisture in industrial cheese using artificial neural networks
199. Tool wear monitoring in turning operations using ultrasonic waves and artificial neural networks
200. Improving the simulation of a waterflooding recovery process using artificial neural networks
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