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Articles by keyword: «Back Propagation Neural Network (BPNN)»

• ³¹P MRS Data Analysis of Liver Cancer Based on Neural Networks
  Published in: Information Technology for Manufacturing Systems (p630)
• A Reverse Approach in Optimizing Pass Parameters
  Published in: Environment Materials and Environment Management (p1707)
• Application of Ultrasonic Test System for Test Performance Improvement of Welding Flaw
  Published in: Advanced Nondestructive Evaluation I (p1517)
• Applications of BPNN in Analyzing LHM Elemental Basic Structure
  Published in: e-Engineering & Digital Enterprise Technology VII (p466)
• Crack Identification by Artificial Neural Network
  Published in: Fracture and Strength of Solids III (p405)
• Design and Realization of the SMT Product Character Recognition System
  Published in: Manufacturing Engineering and Automation I (p1736)
• Early Warning Model of Enterprise Operating Ability Using BP Neural Network
  Published in: Information Technology for Manufacturing Systems (p948)
• Forecasting and Parameters Optimization of Reflow Soldering Profile Based on BPNN and GA
  Published in: Manufacturing Engineering and Automation I (p990)
• Fusion Identification for Wear Particles Based on Dempster-Shafter Evidential Reasoning and Back-Propagation Neural Network
  Published in: Advances in Abrasive Technology IX (p341)
• Gas Mixture Recognition Method with New Hybrid Architecture
  Published in: Advances in Science and Engineering (p604)
• High-Pressure Water Spray Research Based on Neural Network
  Published in: Applied Mechanics And Mechanical Engineering (p138)
• Investigation on the Predictive Model for Burr in Laser Cutting Titanium Alloy
  Published in: Advances in Materials Processing Technologies (p133)
• Optimization of the Hot Pressing Parameters of Nanocomposite Ceramic Tool and Die Materials: I. with BP Neural Network Method
  Published in: Materials Processing Technologies (p1114)
• Optimization of the Hot Pressing Parameters of Nanocomposite Ceramic Tool and Die Materials: II. with Hybrid GA-BP Method
  Published in: Materials Processing Technologies (p1091)
• Prediction and Optimization of Dimensional Shrinkage Variations in Injection Molded Parts Using Forward and Reverse Mapping of Artificial Neural Networks
  Published in: Advanced Materials Research II (p674)