Development Model of Engineering Manufacturing and its Application

Ying Hong Yu

doi:10.4028/www.scientific.net/AMR.1006-1007.386

Paper Titles

The Third Party Inspection Research of Valves for Liquefied Natural Gas Project
p.367

Implementation of Collaborative Process Planning System
p.373

Implementation of Synchronous Mechanism in Collaborative Process Planning
p.377

Pareto Chart Based on Fuzzy-PPI and its Application in Analysis on Quality Data of Equipment Maintenance
p.381

Development Model of Engineering Manufacturing and its Application
p.386

Quality Monitoring and Control of the Publicity Translation System Based on Cognitive Mechanism
p.390

Optimizing the Flow Velocity of the Assembly Line: A Cognitive Neuroscience Perspective
p.394

Predicting Tool Point FRF by RCSA in High Speed Milling
p.398

Parameter Optimization Method of Screw Axis with Variable Diameters and Different Pitches Based on PSO-BP NN
p.403

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1006-1007Development Model of Engineering Manufacturing and...

Development Model of Engineering Manufacturing and its Application

Abstract:

In recent years, with the continuous improvement of production capacity, manufacturing industry restructuring and achieved great results, significantly increased the proportion of high-tech industries, some traditional industries has continued to decline. Manufacturing is the material basis of our national economy and the main industry, which largely determines the level of development of comprehensive national strength. This has brought great difficulties to the economic modeling and forecasting system. This paper presents an improved modeling and forecasting methods, recombinant methods by introducing chain data and add data growth economic indicators in an artificial neural network training, the time series data input window to solve practical engineering problems forecasts.

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Periodical:

Advanced Materials Research (Volumes 1006-1007)

Pages:

386-389

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.386

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Online since:

August 2014

Authors:

Ying Hong Yu

Keywords:

Neural Network (NN), Nonlinear System, Numerical Simulation

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